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Farmers' Level of Satisfaction on Agricultural Technology Information Centre of AAU, Jorhat, Assam

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The present study was conducted in Jorhat district of Assam to find out farmers' satisfaction level on Agricultural Technology Information Centre (ATIC) of Assam Agricultural University (AAU), Jorhat, Assam. 8 villages which are located within the radius of 50 km from ATIC were selected on random basis for the present study. 120 farmers from eight villages were selected purposively by using snowball sampling technique with the help of records available in ATIC register of AAU, Jorhat. The collected data were systematically arranged, classified, tabulated and analysed with the help of different statistical techniques and tests viz. frequency distribution, percentage, mean, standard deviation, weighted mean score, Pearson product-moment correlation coefficient, test of significance of correlation coefficient and chi-square test. The findings from the study revealed that 12.50 per cent respondents had low, 71.67 per cent respondents had medium and 15.83 per cent respondents had high overall satisfaction level on ATIC. The study indicated that annual family income had positive and significant relationship whereas social participation had significant association with satisfaction level of the respondents.
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Indian Res. J. Ext. Edu. 21 (4), October - December,, 2021 85
Farmers’ Level of Satisfaction on Agricultural Technology
Information Centre of AAU, Jorhat, Assam
Chiranjeeta Dutta¹, Debajit Borah² and Pallabi Das³
1. PG Scholar, 2. Asstt. Prof. (Ext. Edu.), College of Sericulture, 3. Asstt. Prof. (Ext. Edu.),
College of Agriculture, Assam Agricultural University, Jorhat, Assam, India
Corresponding author e-mail: chiranjeetadutta@gmail.com
Revised Paper Received on July13, 2021, Accepted on August 20, 2021 and Published Online on October 01, 2021
ABSTRACT
The present study was conducted in Jorhat district of Assam to find out farmers’ satisfaction level on Agricultural
Technology Information Centre (ATIC) of Assam Agricultural University (AAU), Jorhat, Assam. 8 villages which are
located within the radius of 50 km from ATIC were selected on random basis for the present study. 120 farmers from
eight villages were selected purposively by using snowball sampling technique with the help of records available in
ATIC register of AAU, Jorhat. The collected data were systematically arranged, classified, tabulated and analysed
with the help of different statistical techniques and tests viz. frequency distribution, percentage, mean, standard
deviation, weighted mean score, Pearson product-moment correlation coefficient, test of significance of correlation
coefficient and chi-square test. The findings from the study revealed that 12.50 per cent respondents had low, 71.67
per cent respondents had medium and 15.83 per cent respondents had high overall satisfaction level on ATIC. The
study indicated that annual family income had positive and significant relationship whereas social participation
had significant association with satisfaction level of the respondents.
Keywords: Farmers’ satisfaction; Agricultural Technology Information Centre; Snowball sampling technique; Assam.
Satisfaction refers to the contentment or fulfilment
of wishes, expectations, needs of a person according to
the requirement. While measuring the level of
satisfaction of the farmers visiting Agricultural
Technology Information Centre (ATIC), consideration
of several factors like relevancy, quality and usefulness
of various services provided by ATIC will come to the
fore. Satisfaction is defined as a person’s feeling of
pleasure or disappointment resulting from comparing to
his or her expectations in relation to a product’s perceived
performance or outcome (Kotler et al., 2013). Shukla
et al. (2020) opined that large number of technologies
evolved in the field of agriculture are not accepted and
adopted to the fullest extent by the farmers; the gap
between recommendations made by the scientists and
actual use by farmers is frequently encountered.
Assessment of the clienteles’ satisfaction will help
provide an insight to the effectiveness (beyond only
assessing the quality of the service) in fulfilling the
agricultural needs of the farmers because studying
clienteles’ satisfaction may not only help uncover any
constraints in the delivery of outputs and services to the
clients but also help document and publish any
recommendations made by the farmers which may help
increase the organisational efficiency with regards to
agricu ltura l development (Dkhar et al., 2019).
Measuring customer satisfaction is also a way to assess
the quality of the outputs delivered by the organization
ISSN: 0972-2181 (Print), 0976-1071 (Online)
NAAS Rating 5.22 (w.e.f January 2021)
journal homepage: https://www.seea.org.in
Indian Research Journal of
Extension Education Volume 21, No. 4,
October-December , 2021
86 Indian Res. J. Ext. Edu. 21 (4), October - December, 2021
as higher satisfaction of its acquisition and use depends
on the perceived quality of the product or service
(Tsiotsou, 2006). Therefore, it can be said tha t
satisfaction is a very important factor in determining
the utilization, adoption and impact of a particular
technology or information disseminated among the
farmers.
The role of appropriate farm information package,
its dissemination and access to farming community are
of paramount importance for agricultural development
(Goudappa et al., 2017).
With the con t i n u o us de velopme n t of new
agricultural technologies and innovations, production of
the farms has quite increased, but often the farmers
are not able to have access to timely and accurate
information and products. It is observed that average
farmers are deprived of accessible and cost-effective
means to get the required information and products in
time. They are not much aware about where and whom
to contact to get up-to-date information about latest
technologies in agriculture as well as for various
problems occurring in their farms. Therefore, Indian
Council of Agricultural Research (ICAR) considered
the importance of establishing a coordination and linkage
between researchers, scientists and department in-
charges of different disciplines and technology users or
the farmers. The coordination needs to be direct,
integrated and which includes timely availability of
sufficient information and resources (Dutta, 2020).
To strengthen the Research Extension – Farmers
linkages, National Agricultural Technology Project
(NATP) was launched with the support of World
Bank in 1998. Agricultural Technology Information
Centres (ATICs) were introduced under the Innovations
in Technology Dissemination (ITD) component of
National Agricultural Technology Project (NATP).
(Indian Council of Agricultural Research (ICAR),
2004, DARE/ICAR Annual Report 2003-2004, pp.
189-201).
Agricultural Technology Information Centre
(ATIC) is a regulatory body which links the farmers
with different units of a research institution to provide
various agricultural information and services. ATIC is a
‘single window delivery system’ that acts as single-entry
point at the entrance of the Indian Council of Agricultural
Research (ICAR) Institute or State Agricultural
Universities (SAUs) with the aim of helping the farmers
to improve the cultivation practices by providing all the
required information as well resources at a single place.
At present, 44 ATICs are functioning in different
locations of India (Dhanraj, 2010).
The Agricultural Technology Information Centre
(ATIC) of Assam Agricultural University (AAU), Jorhat
was established on 22 January, 2003. The ATIC is under
the administrative control of Directorate of Extension
Education (DEE), Assam Agricultural University
(AAU), Jorhat. The ATIC of AAU, Jorhat has been at
the farmers’ services as the ‘single window’ approach
since 2003. Thus, it is necessary to find out whether the
farmers are satisfied with the services or not and what
is the status of their satisfaction level on ATIC. By
collecting the opinion and feedback of the respondents,
it would be possible to know whether the farmers are
satisfied or dissatisfied with the available products or
services and also about the general experiences they
have about ATIC. Keeping all these in view, the present
study was carried out with the objective: to find out the
satisfaction level of farmers on Agricultural Technology
Information Centre (ATIC) of Assam Agricultural
University (AAU), Jorhat, Assam.
METHODOLOGY
The present study was conducted in purposively
selected Jorhat district of Assam state in India. The
district was sel ected purpo sivel y to assess the
satisfaction level of the farmers on ATIC, which is
located at Jorhat district. Two villages from each main
direction i.e. North, East, West and South; which are
located within the radius of 50 km from the ATIC were
selected by following the selection method of Pandey
(2013). Thus, a total of 8 villages were selected on
random basis following the location of registered
villagers from the ATIC register of AAU, Jorhat. The
names of the selected villages are: Tulsijan Pahumara
Village, Ujani Majkuri Village, Charingia Village, Khangia
Vill age, Na p a mua Village, Po tiagaon Village,
Mohimabari Village, Raidangjuri Village.
From the selected villages, a list of farmers having
regular visits to ATIC was prepared from the records
available in ATIC register of AAU, Jorhat. The
beneficiaries who had been in regular and good contact
with ATIC were selected for the present study. 15
farmers from each village were selected purposively
by using snowball sampling technique. Thus, the total
Indian Res. J. Ext. Edu. 21 (4), October - December,, 2021 87
number of respondents for the present study was 120
(N = 120). The data from the respondents were collected
through personal interview method by using a pre-tested
structured research schedule in their own residence or
farm.
To know about the socioeconomic and personal
profile of the respondents, ten numbers of independent
variables were selected viz. age, caste, education,
marital status, type of family, size of family, operational
land holding, occupation, annual family income and social
participation. To col lect data about age of the
respondents, they were classified into different age
groups according to their chronological years whereas
data about caste, marital status, type of family, size of
family, occupation and annual family income, was
collected by developing structured research schedule.
To collect data about education, scale developed by
National Sample Survey Office, Ministry of Statistics
& Programme Implementation, Government of India
(2015) was followed with slight modification; to
determine operational land holding of the respondents,
the norms of Directorate of Economics & Statistics,
Tra nsformation and Development Department,
Government of Assam (2018) was followed and to
know about social participation, scale developed by
Pareek & Trivedi (1964) was followed.
The collected data were systematically arranged,
classified, tabulated and analysed with the help of
different statistical techniques and tests viz. frequency
distribution (f), per cent age (%), mean ( ), standard
deviation (SD), weighted mean score (WMS), Pearson
product-moment correlation coefficient (r value), test
of significance of correlation coefficient (t value) and
chi-square (χ2) test.
The satisfaction level of respondents was measured
by using four categories viz. overall environment,
research products available at ATIC, diagnostic and
other services available at ATIC, information sources
available at ATIC; with slight modification of scale
developed by Songara (2007). Each category was
further divided into different subheads to find out the
existing level of satisfaction of the respondents with the
functioning of ATIC. Satisfaction level of respondents
was measured on a six-point continuum, i.e. Most
Satisfied (MS), Quite Satisfied (QS), Satisfied (S),
Somewhat Satisfied (SS), Dissatisfied (DS) and Not
Applicable (NA). The scoring was done in the order of
5, 4, 3, 2, 1 and 0 respectively. By using the procedure
followed by Dasgupta (1989), the respondents were
classified into three categories of satisfaction level viz.
low, medium and high; on the basis of mean and standard
deviation of the obtained scores.
RESULTS AND DISCUSSION
Socioeconomi c and personal prof ile of the
respondents: The findings from Table 1 reveal that
majority of the respondents belonged to the middle aged
group (40.00%) of 36 to 55 years, from the OBC caste
(56.67%), with educational qualification of High School
passed (26.67%), were married (80.83%), belonged to
joint family type (57.50%) having medium family size
(55.00%) with 5 to 10 members. Majority of the
respondents possessed marginal land holding (70.00%),
had occupation of only farming with no subsidiary
occupation (40.00%). It was observed that majority of
the respondents had medium annual family income
(73.33%) ranged between Rs. 53,764.36 to Rs.
1,56,893.98 with no membership in any organization
(44.17%).
Satisfaction level of respondents: In the present study,
satisfaction level of respondents was measured in
frequency (f) and percentage (%) according to their
response which is presented in Table 2. Weighted Mean
Score (WMS) was given on each feature/service to
rank them accordingly. Overall satisfaction level of
respondents was calculated with the help of mean ( )
and standard deviation (SD) of the obtained scores
which is depicted in the Table 3.
The study revealed that (Table 2), satisfaction level
of the respondents regarding “behaviour of personnel”
ranked first with WMS (4.23), followed by “concept of
ATIC wi t h se c ond rank havi ng WMS (3.99),
“information about location of diagnostic centres/
agricultural departments/veterinary departments etc.”
ranked third with WMS (3.97), “chart, poster, map and
graph” ranked fourth with WMS (3.87), “photograph
and picture” ranked fifth with WMS (3.84), “farm
literature (leaflets, magazines, folders, bulletins,
pamphlets, books etc.)” ranked sixth with WMS (3.83),
“infrastructure ranked seventh with WMS (3.82),
“nursery plants of vegetables, fruits and ornamental
plants” ranked eighth with WMS (3.80), “plants health
clinic” ranked ninth with WMS (3.74), “exhibition of
model and specimen” ranked tenth with WMS (3.63),
88 Indian Res. J. Ext. Edu. 21 (4), October - December, 2021
“location” ranked eleventh with WMS (3.58), “seeds
of field crops, vegetables and other horticultural crops”
ranked twelfth with WMS (3.54), “vermiculture and
vermicompost” ranked thirteenth with WMS (3.34),
“processed products and by-products of cereals,
oilseeds, pulses, vegetables, fruits, mushrooms including
spawn, honey, milk, meat and fish, tea, black pepper
etc.” ranked fourteenth with WMS (3.23), “helpline
service, on-farm consultancy for farmers/orchardists”
ranked fifteenth with WMS (3.18), both “bio-fertilizer
viz. azolla etc.” and “projects profiles and consultancy”
ranked sixteenth with WMS (2.98), “poultry strains,
livestock breeds, seme n, fish seed et c. ranked
seventeenth with WMS (2.87), “IPM-organic and bio-
pesticides ranked eighteenth with WMS (2.78),
“microbial culture for milk and milk products” ranked
nineteenth with WMS (2.65), “audio-visual aid e.g. video
conference, T.V.” ranked twentieth with WMS (2.23),
“veterinary/animal clinics for small and large animals”
ranked twenty first with WMS (2.07), “tissue cultured
plant materials” ranked twenty second with WMS
(1.77), “soil testing” ranked twenty third with WMS
(1.36), “vaccine/diagnostic kit” ranked twenty fourth
with WMS (1.18), “seed quality testing” ranked twenty
fifth with WMS (0.55), “testing and calibration of
agricultural equipment and implements” ranked twenty
sixth with WMS (0.22) and “small farm implements,
agricultural equipment and drawing of designs” ranked
twenty seventh with WMS (0.08).
The findings presented in Table 3 indicate that
majority of the respondents i.e . 71.67 per cent
respondents had medium whereas 12.50 per cent
respondents had low and 15.83 per cent respondents
had high level of overall satisfaction with ATIC. These
findings are in line with the findings of Kappen (2005)
and Nishi et al. (2011).
Relationship between independent variables and
satisfaction level : The relationship of four quantitative
independent variables having interval and ratio scale viz.
age, size of family, operational land holding, annual family
income with the dependent variable i.e. satisfaction level
of respondents was analysed by using Pearson product-
moment correlation coefficient (r) (Table 4). The
calculated t-value from test of significance of correlation
coefficient was compared with table value of t for 118
degree of freedom at 0.05 and 0.01 level of significance.
Table 1. Distribution of the respondents according to their
socioeconomic and personal profile (N = 120)
Variables No. %
Age
Young (18 to 35 years) 47 39.17
Middle (36 to 55 years) 48 40.00
Old (56 years and above) 25 20.83
Caste
General 33 27.50
Other Backward Class (OBC) 68 56.67
More Other Backward Class (MOBC) 05 4.17
Scheduled Caste (SC) 11 9.17
Scheduled Tribe (ST) 03 2.50
Education
Not literate 03 02.50
Literate but below primary level 12 10.00
Primary school 14 11.67
Middle school 24 20.00
High school 32 26.67
Higher secondary 14 11.67
Diploma/Certificate course 08 06.67
Graduate 11 09.17
Post Graduate and above 02 01.67
Marital status
Single 22 18.33
Married 97 80.83
Widowed 01 00.83
Type of family
Nuclear 51 42.50
Joint 69 57.50
Size of family
Small (2-4 members) 50 41.67
Medium (5-10 members) 66 55.00
Large (>10 members) 04 03.33
Operational land holding
Marginal (Below 1.0 ha) 84 70.00
Small (1.0-2.0 ha) 22 18.33
Semi medium (2.0-4.0 ha) 10 08.33
Medium (4.0-10.0 ha) 04 03.33
Occupation
Farming 48 40.00
Farming + Business 24 20.00
Farming + Service 16 13.33
Farming + Labour 27 22.50
Farming + Others 05 04.17
Annual family income
Low (Less than Rs. 53,764.36) 12 10.00
Medium (Rs. 53,764.36 to Rs. 1,56,893.98) 88 73.33
High (Above Rs. 1,56,893.98) 20 16.67
Social participation
None 53 44.17
Member of one organization 26 21.67
Member of more than one organization 21 17.50
Office holder in such an organization 16 13.33
Wide public leader 04 03.33
Indian Res. J. Ext. Edu. 21 (4), October - December,, 2021 89
Table 2. Frequency and Percentage distribution of the respondents according to their satisfaction level (N = 120)
Features and services MS QS S SS DS NA WMS Rank
No. (%) No. (%) No. (%) No. (%) No. (%) No. (%)
Overall environment
Concept of ATIC. 45(37.50) 33(27.50) 38(31.67) 4(3.33) 0(0.00) 0(0.00) 3.99 II
Location. 27(22.50) 30(25.00) 49(40.83) 14(11.67) 0(0.00) 0(0.00) 3.58 XI
Infrastructure. 34(28.33) 35(29.17) 46(38.33) 5(4.17) 0(0.00) 0(0.00) 3.82 VII
Behaviour of personnel. 54(45.00) 40(33.33) 26(21.67) 0(0.00) 0(0.00) 0(0.00) 4.23 I
Research products available at ATIC.
Seeds of crops, vegetables and other horti. 30(25.00) 35(29.17) 30(25.00) 20(16.67) 5(4.17) 0(0.00) 3.54 XII
Nursery 32(26.67) 38(31.67) 44(36.67) 6(5.00) 0(0.00) 0(0.00) 3.80 VIII
Bio-fertilizer viz. azolla etc. 29(24.17) 23(19.17) 36(30.00) 6(5.00) 0(0.00) 26(21.67) 2.98 XVI
IPM-organic and bio-pesticides. 26(21.67) 22(18.33) 32(26.67) 8(6.67) 3(2.50) 29(24.17) 2.78 XVIII
Small farm implements 0(0.00) 0(0.00) 0(0.00) 5(4.17) 0(0.00) 115(95.83) 0.08 XXVII
Tissue cultured plant materials. 9(7.50) 16(13.33) 25(20.83) 14(11.67) 0(0.00) 56(46.67) 1.77 XXII
Processed products etc. 25(20.83) 32(26.67) 41(34.17) 6(5.00) 0(0.00) 16(13.33) 3.23 XIV
Poultry, livestock, semen, fish seed etc. 24(20.00) 25(20.83) 38(31.67) 5(4.17) 0(0.00) 28(23.33) 2.87 XVII
Vermiculture and vermicompost. 39(32.50) 26(21.67) 34(28.33) 0(0.00) 0(0.00) 21(17.50) 3.34 XIII
Vaccine/ diagnostic kit. 13(10.83) 13(10.83) 6(5.00) 3(2.50) 0(0.00) 85(70.83) 1.18 XXIV
Microbial culture for milk and milk products 30(25.00) 21(17.50) 28(23.33) 0(0.00) 0(0.00) 41(34.17) 2.65 XIX
Diagnostic and other services available at ATIC
Soil testing. 17(14.17) 9(7.50) 12(10.00) 3(2.50) 0(0.00) 79(65.83) 1.36 XXIII
Seed quality testing. 5(4.17) 4(3.33) 7(5.83) 2(1.67) 0(0.00) 102(85.00) 0.55 XXV
Plants health clinic. 34(28.33) 36(30.00) 37(30.83) 11(9.17) 2(1.67) 0(0.00) 3.74 IX
Veterinary/ animal clinics 13(10.83) 24(20.00) 25(20.83) 6(5.00) 0(0.00) 52(43.33) 2.07 XXI
Testing of agricultural equipment 0(0.00) 0(0.00) 6(5.00) 4(3.33) 0(0.00) 110(91.67) 0.22 XXVI
Projects profiles and consultancy 20(16.67) 28(23.33) 38(31.67) 16(13.33) 0(0.00) 18(15.00) 2.98 XVI
Helpline service, on-farm consultancy 21(17.50) 17(14.17) 47(39.17) 32(26.67) 3(2.50) 0(0.00) 3.18 XV
Information about location of diagnostic 39(32.50) 38(31.67) 43(35.83) 0(0.00) 0(0.00) 0(0.00) 3.97 III
Information sources available at ATIC.
Farm literature 39(32.50) 27(22.50) 48(40.00) 6(5.00) 0(0.00) 0(0.00) 3.83 VI
Chart, poster, map and graph. 37(30.83) 35(29.17) 43(35.83) 5(4.17) 0(0.00) 0(0.00) 3.87 IV
Photograph and picture. 34(28.33) 36(30.00) 47(39.17) 3(2.50) 0(0.00) 0(0.00) 3.84 V
Exhibition of model and specimen. 29(24.17) 28(23.33) 52(43.33) 11(9.17) 0(0.00) 0(0.00) 3.63 X
Audio-visual aid 22(18.33) 14(11.67) 28(23.33) 9(7.50) 0(0.00) 47(39.17) 2.23 XX
MS : Most Satisfied, QS : Quite Satisfied, S : Satisfied,
SS : Somewhat Satisfied, DS : Dissatisfied, NA: Not Applicable.
Table 3. Frequency and Percentage distribution
of the respondents according to their overall
satisfaction level (N = 120)
Category Score Range No. % MS SD
Low <72.39 15 12.50
Medium 72.39 to 86.19 86 71.67 79.29 6.90
High >86.19 19 15.83
Total 120 100.00
Table 4. Relationship between independent
variables having interval and ratio scale and
satisfaction level of respondents
Independent variables r value t value
Age 0.1107 1.2103
Size of family 0.1448 1.5894
Operational land holding 0.0132 0.1436
Annual family income 0.1880* 2.0796
* Significant at 0.05 level, ** Significant at 0.01 level
90 Indian Res. J. Ext. Edu. 21 (4), October - December, 2021
techniques as well as availing the ATIC services and
facilities. Due to that, they receive more benefits in their
farms and thus, they become more satisfied with ATIC
than the respondents with less or no social participation.
CONCLUSION
It can be concluded that majority of the respondents
had medium overall satisfaction level on ATIC. It was
observed from the study that most of the respondents
were not aware about all the services and facilities
provided by ATIC. Thus, there arises a need to create
awareness about ATIC among the farmers. More
numbers of good quality research products should be
made available directly in ATIC as most of the farmers
go to ATIC for purchasing the products. Popularization
and efficient working of the helpline service should be
there so that the problems faced by the farmers can be
solved directly. More numbers of models and specimen
should be displayed in ATIC to increase its efficiency.
It was observed from the study that very less number
of the respondents had gone to ATIC regarding queries
related to small farm implements and agricultural
equipment. Therefore, information along with practical
demonstration about small farm implements and
agricultural equipment should be made easily available
to the farmers, so that they become more aware about
application and utilization of the implements and
equipment. The findings of the study revealed that
scientific testing and diagnostic lab is not present in
ATIC. Therefore, establishment of a diagnostic centre
or service in ATIC would be of great help to the farmers
for soil testing, seed quality testing and other relevant
tests. It was also observed from the study that annual
family income had positive and significant relationship
whereas social participation had significant association
with satisfaction level of the respondents. This could
provide wide scope to identify the factors and reasons
which determine the farmers’ satisfaction level on ATIC.
Thus, various strategies should be implemented to
increase the satisfaction level of farmers as well as to
enhance the effectiveness of ATIC.
REFERENCES
Dasgupta, S. (1989). Diffusion of agricultural innovations in village India. New Delhi: Wiley Eastern Limited.
Dhanraj. (2010). Impact assessment of agricultural technology information centre (ATIC) run by SKRAU, Bikaner. M.Sc.
(Agriculture) Thesis, SKRAU, Bikaner (Rajasthan). Available: http://krishikosh.egranth.ac.in/displaybitstream?
Table 5. Association between independent variables and
satisfaction level of respondents
Independent variables
2d.f.
Caste 6.6771 8
Education 13.1264 18
Marital status 4.3227 6
Type of family 3.4083 2
Occupation 11.8238 8
Social participation 17.3012* 8
* Significant at 0.05 level ; ** Significant at 0.01 level
The findings from the study revealed that age, size
of family, operational land holding had no significant
correlation with satisfaction level of respondents at 0.05
and 0.01 level of significance.
Whereas, annual family income had positive and
significant correlation with satisfaction level of
respondents at 0.05 level of significance. This may be
due to the reason that when the annual family income
of the respondents increases by utilizing the various
services and facilities of ATIC, then they become more
satisfied with ATIC.
Association between independent variables and
satisfaction level of respondents : The association of
six qualitative independent variables having nominal and
ordinal scale viz. caste, education, marital status, type
of family, occupation, social participation with the
dependent variable i.e. satisfaction level of respondents
was analysed with the help of chi-square (
2) test
(Table 5). The calculated
2 value was compared with
table value at 0.05 and 0.01 level of significance.
The findings from the study indicated that caste,
education, marital status, type of family, occupation had
no significant association with satisfaction level of
respondents at 0.05 and 0.01 level of significance.
Whereas social participation had significant
association with satisfaction level of respondents at 0.05
level of significance. This may be because the farmers
with higher social participation have more involvement
in various organizations. They are more aware and up-
to-date about use of different improved farming
Indian Res. J. Ext. Edu. 21 (4), October - December,, 2021 91
Directorate of Economics & Statistics, Transformation and Development Department, Government of Assam. (2018). Economic
Survey Assam 2017-18. Available: https://des.assam.gov.in/information-services/economic-survey-assam [ April 5, 2019].
Dkhar, S. E.; Devarani, L. and Singh, R. (2019). Clientele satisfaction of extension services provided by KVKs of Meghalaya.
Cu r.J . of Ap plied Sci . an d Tech., 34 ( 5) : 1-12. Avai l able: ht t p s://www.rese a r c hgate . net/ p ublica t i on/
332379708_Clientele_Satisfaction_of_Extension_Services_Provided_by_KVKs_of_Meghalaya. [April 28, 2020].
Dutta, C. (2020). A study on the effectiveness of Agricultural Technology Information Centre (ATIC), AAU, Jorhat. M.Sc.
(Agriculture) Thesis, Assam Agricultural University, Jorhat (Assam).
Goudappa, S.B.; Kalyanrao, J. and Shashidhara, K.K. (2017). Television viewing behaviour of farmers in north eastern districts
of Karnataka. Indian Res. J. Ext. Edu., 17 (3) : 105-108.
Indian Council of Agricultural Research (ICAR). (2004). DARE/ICAR Annual Report 2003-2004. Available: https://
krishi.icar.gov.in/jspui/handle/123456789/3696 [Retrieved on November 7, 2018].
Kappen, D. C. (2005). An evaluation of extension activities in the development of aquaculture in Kerala. Ph.D. Thesis, School
of Industrial Fisheries, Cochin University of Science and Technology, Cochin (Kerala). Available: https://dyuthi.cusat.ac.in/
xmlui/bitstream/handle/purl/933/Dyuthi-T0072.pdf?sequence=7 [Retrieved on July 1, 2020]
Kotler P.; Bowen J. T. and Makens, J. C. (2013). Marketing for hospitality and tourism. Upper Saddle river : Pearson
education, Inc.
National Sample Survey Office, Ministry of Statistics & Programme Implementation, Government of India. (2015). Status of
education and vocational training in India NSS 68th Round (July 2011-June 2012) (NSS Report No. 566(68/10/6)). Available:
http://mospi.nic.in/sites/default/files/publication_reports/nss_report_no_566_21sep15_0.pdf [Retrieved on December
20, 2018].
Nishi; Sah, A.K. and Kumar, R. (2011). Dairy farmers’ satisfaction with Dairy Cooperative Societies: a case study.
Indian Res. J. of Ext.Edu., 11 (1) : 74-78.
Pandey, M. (2013). Assessment of functioning of Agricultural Technology Information Centre (ATIC) and its utilization by the
farm families. M.Sc. (Home Science) Thesis, Maharana Pratap University of Agriculture and Technology, Udaipur
(Rajasthan). Available: https://krishikosh.egranth.ac.in/displaybitstream?handle=1/5810024808&fileid=eb89b38a-2271-
4a5e-b15e-5271e3ff17c0 [Retrieved on October 27, 2018].
Pareek, U. and Trivedi, G. (1964). Manual of socio-economic status scale (Rural). New Delhi: Manasayan.
Shukla, Y. K.; Shukla, R. and Vani, D. K. (2020). Impact of Integrated Nutrient Management in Khandwa District of Madhya
Pradesh. Indian Res. J. of Ext.Edu., 20 (4) : 59-62.
Songara, H. S. (2007). Impact assessment of Agricultural Technology Information Centre (ATIC) - a formative evaluation. M.Sc.
(Agriculture) Thesis, Maharana Pratap University of Agriculture and Technology, Udaipur (Rajasthan). Available: http:/
/krishikosh.egranth.ac.in/displaybitstream?handle=1/5810033021 [Retrieved on August 24, 2018].
Tsiotsou, R. (2006). The role of perceived product quality and overall satisfaction on purchase intentions. Intl. J. of
Consumer Studies, 30 (2) : 207-217.
... C. Dutta, et al. [6] stated that most of the respondents were not aware about all the services and facilities provided by ATIC. Thus, there arises a need to create awareness about ATIC among the farmers. ...
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Aim: The current study aims to find out various constraints faced by the respondents in availing the services provided by ATIC and to suggest suitable measures to overcome the constraints. Study Design: The study was carried out by descriptive type of survey method. Place and Duration of Study: The present investigation was undertaken in Agricultural Technology Information Centre in Kanpur region of Uttar Pradesh, between June 2023 and July 2024. Methodology: The study employed a descriptive survey method with random and purposive sampling. Particularly Kanpur district of Uttar Pradesh, was chosen due to the investigator's familiarity with the region. One Agricultural Technology Information Center (ATIC) at Chandra Shekhar Azad University of Agriculture and Technology was selected for analysis. Data were evaluated using percentages, weighted means, and rankings. Results: The infrastructure issue of "Insufficient facilities for farmers" was reported as being significant. Additionally, the extension problem of "Limited availability of free literature for farmers" and the administrative problem of "Delayed evaluation of training provided" were also identified as being of considerable concern. Conclusion: Respondents identified inadequate infrastructure and lack of free literature as key constraints, with delayed training evaluations being a major administrative issue. They recommended timely budgets, full-time staff for ATICs, and increased involvement from top officials.
... However, satisfaction is an evaluative assessment of the customers and is considered the outcome of service quality (Prasad & Verma, 2022), while service quality indicates how well a service is delivered to fulfill customers' expectations. The term "satisfaction" further can be described as how demands of an individual are met comparatively with their requirements (Biam et al., 2022;Dutta et al., 2021). Addressing the service quality and client's satisfaction related aspects, Parasuraman et al. (1985) made contributions to the concept and proposed the SERVQUAL model (an abbreviation of two words, 'service' as 'SERV' and 'quality' as 'QUAL'). ...
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HIGHLIGHTS  The study assessed agricultural extension service through farmers satisfaction.  Hierarchical regression analysis was used to predict SERVQUAL model's contribution.  The study compared SERVQUAL dimensions with traditional socioeconomic attributes in measuring satisfaction ABSTRACT With an aim to contribute to the methodology in Agricultural Extension research and draw extension professionals' attention to evaluating farmers' satisfaction with extension service delivery, this research presents a comparative evaluation of the traditional research approach, which treats farmers' selected socioeconomic characteristics as the predictor variables against SERVQUAL five-dimensions (i.e., tangibility, reliability, assurance, responsiveness, and empathy). The study was carried out from 2022-2023 and data used in this research were collected from August 01 to August 15, 2022. Stratified random sampling was used to select 120 farmers from two unions of the Savarupazila (i.e., sub-district) of Dhaka district, Bangladesh, and analyzed using hierarchical regression analysis. Results revealed that without using SERVQUAL dimensions, farmers' socioeconomic characteristics explained 30.9 per cent of the variance of their satisfaction when SERVQUAL dimensions were not used. However, this percentage increased to 61.8 per cent upon adding SERVQUAL dimensions to the model. Therefore, the findings provide a novel dimension for further research on farmers' satisfaction with agricultural extension and evaluate similar agriculture-based rural development programs.
... (2015), where they opined that perception of farmers about latest technologies and its delivering agencies got reduced as they grow older. A diff erent opinion was expressed by Dutta et al. (2021) in their study regarding the services of Agricultural Technology Information Centers (ATIC), where age has no connection with the adoption behaviour and satisfaction level of farmers with services from ATIC centers. ...
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Agriculture plays an indispensable role in the Indian economy. Agro Service Centres (ASCs) satisfy the input and service needs of small and marginal farmers by providing quality products and advisory services. The present study was conducted among the benefi ciary farmers of Agro Service Centres in Kerala, during the year 2018-19. The sample of the study comprised of 120 farmers from 26 Agro Service Centres in the Thrissur, Kannur and Kottayam districts of Kerala representing the central, northern and southern regions. The performance eff ectiveness of Agro Service Centres as perceived by farmers was measured in terms of Performance Eff ectiveness Index (PEI). Frequency and percentage analysis was carried out to fi nd the distribution of farmers based on their perceptions regarding the performance eff ectiveness of Agro Service Centres and a Kruskal Wallis test was undertaken to test the signifi cant diff erence in the Performance Eff ectiveness Index as perceived by the farmers among the three districts. Based on the analysis of data, it was found that 48.88 per cent of the farmers from Kannur and 44.45 per cent of the farmers from Thrissur districts scored the ASCs in the high PEI category. In the Kottayam district, 50 per cent of farmers scored ASCs in the medium PEI category. This result of the KruskalWallis test indicates that the farmer benefi ciaries from all the studied districts had similar levels of perception regarding the Performance Eff ectiveness Index of ASCs
... The state agricultural universities (SAUs), KVKs, and Agricultural Technology Information centers (ATIC) services are still far away for the farming community; however, most government offi cials dismissed many of these complaints as sour grapes. Our observations in the present investigation agree with the reports stating that there might be various determinants for access to agricultural extension services for adopting technical inputs such as lack of awareness etc. (Dutta et al., 2021). Almost all the socioeconomic variables signifi cantly impact the 'Access' but appeared to have little relevance with the 'Adoption'. ...
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The Government of India has initiated several programs to provide timely inputs to farmers with special subsidies on regular inputs such as seed material, fertilizers, irrigation, animal purchase, etc. These inputs are supplied through various mechanisms such as government departments, agricultural universities, KVKs, NGOs, local shop owners, producer's associations etc. Studying the agri-inputs available and their supplying mechanisms in India provides clarity on the status of farmers and the number of farmers who benefi ted from diff erent services provided by GOI. A survey questionnaire was developed to collect data from the 14 states with a sample size of 409 farmer respondents and was administered to the Foundation course for Agricultural Research Service (FOCARS)-82 batch, who were undergoing fi eld experience training (FET) at ICAR-NAARM, Rajendranagar, Hyderabad, Telangana State. The survey revealed that most farmers felt satisfi ed with the quality of seed, followed by agrochemicals and chemical fertilizers. Among all the assets, farmers spent the most money on purchasing animal feed (INR 46047.05) followed by planting material- saplings (INR 34445.07) and adult draught animals (INR 31805.07). The maximum number of respondents specifi ed that storage facility for grains, electricity, and byproducts were suffi ciently available. More money is spent on purchasing the recurrent associated input, i.e., irrigation sprinkler/drip, followed by irrigation wells. The Maximum number of farmers has access to Common Property Resources (CPRs) such as pasture land, irrigation sources, threshing fl oors, water harvesting structures, producer's associations, selfhelp groups, and primary cooperative society. About 269 farmers availed credit facilities; among them, 103 farmers took a credit of >10,000-50,000, which was majorly used for input purchase (240 farmers responded). About 132 farmers said they receive subsidies on seed/propagating material, fertilizer/agrochemicals, and irrigation. Most farmers received quality seed/propagating material from the local shop owners, followed by neighboring farmers, govt. departments and private companies. Very few are using/visiting Agricultural Universities, KVKs, cooperatives, NGOs, Agri-clinics, producers' associations, and village panchayats for seed purposes. In terms of credit suppliers, farmers listed public sector banks fi rst, followed by cooperative society credit cards and moneylender. Farmers with medium-sized land holdings have a better chance of availing subsidies compared to small-category farmers. Most small landholders need more opportunities to access agricultural credit. An adequate supply of timely inputs and support of low-cost credit from institutional sources is of great importance to small and marginal, farmers who contribute almost 60 per cent of total food grain production in India. The output of this study would become a benchmark for future assessments and decision-making in the fi eld of agri-inputs.
... Client-satisfaction surveys are more common in human healthcare than in animal health. According to Dutta et al., (2021), satisfaction refers to the contentment or fulfillment of wishes, expectations, and needs of a person according to the requirement. Surveys provide a feedback mechanism to managers to uncover the client's perceptions of strengths and weaknesses (Lin & Brian, 1996). ...
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The study was conducted at Indian Veterinary Research Institute- Referral Veterinary Polyclinic (RVP), Izatnagar, to assess the client’s satisfaction on the overall veterinary service provided by the polyclinic from 2019-2020. A total of 60 clients visiting the RVP were at random selected irrespective of the animal they brought and place they belong too. 95 per cent of the clients prefer IVRI-RVP over other private or government-run clinics because of nominal consultation fees and 93.33 per cent due to their belief in the Institutes’ reliability of treatment of the diseases diagnosed on their animals. All the clients agreed that the IVRI-RVP cleanliness was very satisfactory, 98.33 per cent of them felt that the veterinarians were courteous and genuinely concerned for their animals and clearly explained their problems upon diagnosis. 56.67 per cent of the clients rated the overall quality of veterinary services as very good and were more than happy to recommend the polyclinic to their families and friends.
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The Krishi Vigyan Kendras (KVKs) are very important organisations for promoting agricultural development at the district level through the various trainings and other development programmes they offer. One way of knowing how effective these KVKs are in catalysing district agricultural development is to study the clienteles' satisfaction of the farmers involved with those KVKs. In this study, 150 farmers across five districts of Meghalaya were interviewed to study the clienteles' satisfaction, it was found that the client farmers of the KVKs were highly satisfied with the outputs and services of the KVKs since the overall clienteles' satisfaction index was found to be 76.49. The farmers however did express a few problems such as non-timely delivery of relevant inputs/services, lack of innovative need based technologies and the lack of relevant market information. There should be more initiatives from the KVKs to provide regular market information to the farmers through the use of ICTs. Development programmes should be delivered timely so that farmers can plan their farming activities accordingly and more effort should be given by the KVKs to increase participation of farmers in programme planning and execution to help develop innovative need based solutions in accordance to the farmers' problems. Original Research Article Dkhar et al.; CJAST, 34(5): 1-12, 2019; Article no.CJAST.48462 2
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The study investigated the effects of perceived product quality and overall satisfaction on purchase intentions. Moreover, the direct and indirect effects of values and involvement on purchase intentions were studied. The study utilized the survey questionnaire and used sport shoes as the product being researched. The sample consisted of 197 students who responded to an anonymous questionnaire. Five hypotheses were tested and four of them were confirmed by the data. Perceived quality had a direct and an indirect effect (through overall satisfaction) on purchase intentions, overall satisfaction had a direct effect on purchase intentions and involvement had an indirect effect on purchase intentions through overall satisfaction and perceived quality. The results of the study provide several theoretical and practical implications.
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Aquaculture is one of the prime catalysts for the socio-economic development of Indian economy contributing to the nations food and nutritional security, export earnings, income and employment generation. In this study an evaluation of extension activities in the development of aquaculture in Kerala. This study was conducted with a view to examine how the Kerala fisheries department offered extension services to the aquaculture farmers in the freshwater and brackish water sectors of the state through various agencies like Fish Farmers Development Agency(FFDA), Brackish water Fish Farmers Development Agency (BFFDA). In this study there are 3 category of respondent’s fresh water beneficiary farmers, brackish water beneficiary farmers and fisheries extension officers. The main motive of the thesis is to make an attempt to explore the responses of local producers to the extension programs of the state with special reference to the aquaculture sector of Kerala, India. The most important technical constraint faced by the fresh water farmers was lack of knowledge followed by non-availability of quality seeds. In the case of brackish water farming, it was infection of disease followed by lack of knowledge. The overall activities of the department of fisheries were ‘fairly good’. It indicate the need for improvements in the delivery of extension services to various target groups. The state fisheries department has already moving towards evolving these modes of extension activities by community participation.
Economic Survey Assam 2017-18
Directorate of Economics & Statistics, Transformation and Development Department, Government of Assam. (2018). Economic Survey Assam 2017-18. Available: https://des.assam.gov.in/information-services/economic-survey-assam [ April 5, 2019].
A study on the effectiveness of
  • C Dutta
Dutta, C. (2020). A study on the effectiveness of Agricultural Technology Information Centre (ATIC), AAU, Jorhat. M.Sc. (Agriculture) Thesis, Assam Agricultural University, Jorhat (Assam).
Television viewing behaviour of farmers in north eastern districts of Karnataka
  • S B Goudappa
  • J Kalyanrao
  • K K Shashidhara
Goudappa, S.B.; Kalyanrao, J. and Shashidhara, K.K. (2017). Television viewing behaviour of farmers in north eastern districts of Karnataka. Indian Res. J. Ext. Edu., 17 (3) : 105-108.
Dairy farmers' satisfaction with Dairy Cooperative Societies: a case study
  • A K Sah
  • R Kumar
Sah, A.K. and Kumar, R. (2011). Dairy farmers' satisfaction with Dairy Cooperative Societies: a case study. Indian Res. J. of Ext.Edu., 11 (1) : 74-78.
Assessment of functioning of Agricultural Technology Information Centre (ATIC) and its utilization by the farm families
  • M Pandey
Pandey, M. (2013). Assessment of functioning of Agricultural Technology Information Centre (ATIC) and its utilization by the farm families. M.Sc. (Home Science) Thesis, Maharana Pratap University of Agriculture and Technology, Udaipur (Rajasthan). Available: https://krishikosh.egranth.ac.in/displaybitstream?handle=1/5810024808&fileid=eb89b38a-2271-4a5e-b15e-5271e3ff17c0 [Retrieved on October 27, 2018].
Manual of socio-economic status scale (Rural)
  • U Pareek
  • G Trivedi
Pareek, U. and Trivedi, G. (1964). Manual of socio-economic status scale (Rural). New Delhi: Manasayan.