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ESTIMATIVA DE PESO DO MELÃO AMARELO ATRAVÉS DE VISÃO COMPUTACIONAL
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It was to aimed it to investigate effects of various saline water use strategies on melon production and quality of two cultivars (Cucumis melo L., Sancho - C1 and Medellín - C2. The plants were irrigated with water of low (S1 = 0.61 dS m-1) and high (S2 = 4.78 dS m-1) salinity levels, during each crop stage: S1S1S2S2 - T1; S2S1S2S2 - T2; S2S2S1S2 - T3. The 1st, 2nd, 3rd and 4th terms of these sequences correspond to initial growth, flowering, fruit ripening and harvest phenological stages, respectively. Additionally, there was irrigation rotation during all cycle, with water S1 during two days followed by S2 for one day (S1 2 dias + S2 1 dia - T4) and irrigation with non-salt water S2 during all cycle - T5. Moreover, we used as control, the irrigation water at 3.2 dS m-1 resulting from water mixture of S1 and S2 - T6 (farm used irrigation management). The experiment was carried out in Pedra Preta Farm, in Mossoró, RN, using an entire randomized block statistical design in a 6x2 subdivided plot scheme with four replications. Saline water irrigation at initial growth stage reduces leaf area and shoot dry phytomass of Sancho and Medellín melon cultivars. The irrigation by T4 provided the highest phytomass production of fruits at 48 DAS, reducing in 33% of good quality water in irrigation.
The present investigation aimed to determine the sugars (reducing, nonreducing) and antioxidants, such as phenols, polyphenols, carotenoids and total antioxidant activity, as well as activities of various enzymes related to these biochemical components in muskmelon at its different developmental stages. The quantity of phenolic compounds (total phenols, total polyphenols) and lycopene was accumulated significantly in ripened stage of muskmelon fruit. The highest levels of activities of sucrose phosphate synthase and sucrose synthase were recorded in the fruit thereby indicating positive correlation with the sucrose accumulation as fruit approaches ripening. β-galactosidase, polygalacturonase and cellulase exhibited their positive relation with the softening process. Hence, the present study confirms the muskmelon fruit as a nutritionally balanced source of sugars and antioxidants.Practical ApplicationThe present study has importance from its practical perspective as the comprehensive assessment of sugars, antioxidants and their related enzymes of muskmelon revealed this fruit as a nutritionally potential one. Antioxidants present in the muskmelon fruit scavenge free radicals and thereby protect its consumers. In the present study, the accumulation of phenols and polyphenols confirms their health-promoting role in muskmelon beyond basic nutrition. Therefore, orange-fleshed muskmelon fruit extracts have the potential to be developed into nutraceuticals and dietary supplements. Furthermore, identification of health-promoting properties of muskmelon fruit may encourage its increased production and consumption.
Watermelon (Citrullus lanatus) volume was measured using water displacement, ellipsoid approximation and image processing methods. The length and major and minor diameters of each watermelon were used in the ellipsoid approximation method. Eight-bit surface images of each watermelon, captured with a low-cost CMOS camera, were utilized in the image processing method. The volume obtained from ellipsoid approximation and image processing was compared to the volume determined by the water displacement method using the paired t-test and the Bland-Altman approach. The volume estimated by ellipsoid approximation was significantly different from the volume determined by water displacement (P < 0.05), while the volume determined by image processing was not significantly different from the volume determined by water displacement (P > 0.05). There was a mean difference of −0.467 L (95% confidence interval: −0.625 and −0.310 L; P < 0.0001) between the water displacement and ellipsoid approximation methods. The mean difference between water displacement and image processing was −0.218 L (95% confidence interval: −0.603 and 0.166 L; P = 0.243). Image processing provides a simple methodology to estimate watermelon volume and can be easily implemented in monitoring the growth rate of watermelons in the field, monitoring yield during mechanical harvesting, estimating the weight of individual watermelons and postharvest sorting of watermelons indoors.
Orange is a citrus fruit which is rich in vitamins and minerals and other nutrients. Getting the relationship between physical properties of orange and its mass can create tremendous change in the packaging industry. The Iranian orange fruits used in this study consisted of Bam cultivars that they got from Kermanshah-Iran (longitude: 7.03 degrees E; latitude: 4.22 degrees N). One hundred samples were randomly selected. All the measurements were carried out at the laboratory with temperature of 24 degrees C during 2 days. Fourteen parameters were got by image processing for each orange. ANFIS and SPSS models were employed to predict the mass based on perimeter and (width/length) value as inputs. The coefficient of determination (R-2) for ANFIS and SPSS were 0.936999 and 0.919 respectively. To evaluate the ANFIS model, samples were divided into two sets, 70% of data was used for training the model and 30% of data was used to test the model. So, The ANFIS model with less error percentage can be used to design and develop sizing systems.
Enormous agricultural yield is lost every year, due to rapid infestation by pests and insects. A lot of research is being carried out worldwide to identify scientific methodologies for early detection/identification of these bio-aggressors. In the recent past, several approaches based on automation and image processing have come to light to address this issue. Most of the algorithms concentrate on pest identification and detection, limited to a greenhouse environment. Also, they involve several complex calculations to achieve the same. In this paper, we propose a novel and unique algorithm to segregate and detect pests using image processing. The proposed methodology involves reduced computational complexity and aims at pest detection not only in a greenhouse environment but also in a farm environment as well. The whitefly, a bio-aggressor which poses a threat to a multitude of crops, was chosen as the pest of interest in this paper. The algorithm was tested for several whiteflies affecting different leaves and an accuracy of 96% of whitefly detection was achieved. The algorithm was developed and implemented using MATLAB programming language on MATLAB 7.1 build 2011a.
ICT initiative of SAARC agriculture centre in the SAARC region
- S Sohoo
SOHOO, S. ICT initiative of SAARC agriculture centre in the SAARC region. In: Computer
Science and Information Technology, 2008. ICCSIT'08. International Conference on. IEEE,
2008. p. 923-929.
Management strategies of saline water on morphometric characteristics of melon cultivars. Engenharia Agrícola, v.34
- M S D M Souza
M. S. D. M.; SOUZA, R. O. D. Management strategies of saline water on morphometric
characteristics of melon cultivars. Engenharia Agrícola, v.34, p.649-659, 2014.
IV INOVAGRI International Meeting, 2017