Computers and Electronics in Agriculture Journal Impact Factor & Information

Publisher: Elsevier

Journal description

Computers and Electronics in Agriculture provides international coverage of advances in the application of computer hardware, software and electronic instrumentation and control systems to agriculture, forestry and related industries. The latter include horticulture (in both its food and amenity aspects), forest products, aquaculture, animal/livestock science, veterinary medicine and food processing.The journal publishes original papers, reviews, applications notes and book reviews on topics including computerized decision-support aids (e.g., expert systems and simulation models) pertaining to any aspect of the aforementioned industries; electronic monitoring or control of any aspect of livestock/crop production (e.g. soil and water, environment, growth, health, waste products) and post-harvest operations (such as drying, storage, production assessment, trimming and dissection of plant and animal material). Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics and simulation modelling.

Current impact factor: 1.49

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.486
2012 Impact Factor 1.766
2011 Impact Factor 1.846
2010 Impact Factor 1.431
2009 Impact Factor 1.312
2008 Impact Factor 1.273
2007 Impact Factor 1.242
2006 Impact Factor 0.851
2005 Impact Factor 0.802
2004 Impact Factor 0.863
2003 Impact Factor 0.686
2002 Impact Factor 0.556
2001 Impact Factor 0.626
2000 Impact Factor 0.379
1999 Impact Factor 0.358
1998 Impact Factor 0.347
1997 Impact Factor 0.466

Impact factor over time

Impact factor

Additional details

5-year impact 2.00
Cited half-life 5.60
Immediacy index 0.22
Eigenfactor 0.01
Article influence 0.50
Website Computers and Electronics in Agriculture website
Other titles Computers and electronics in agriculture (Online)
ISSN 0168-1699
OCLC 38840899
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Pre-print allowed on any website or open access repository
    • Voluntary deposit by author of authors post-print allowed on authors' personal website, or institutions open scholarly website including Institutional Repository, without embargo, where there is not a policy or mandate
    • Deposit due to Funding Body, Institutional and Governmental policy or mandate only allowed where separate agreement between repository and the publisher exists.
    • Permitted deposit due to Funding Body, Institutional and Governmental policy or mandate, may be required to comply with embargo periods of 12 months to 48 months .
    • Set statement to accompany deposit
    • Published source must be acknowledged
    • Must link to journal home page or articles' DOI
    • Publisher's version/PDF cannot be used
    • Articles in some journals can be made Open Access on payment of additional charge
    • NIH Authors articles will be submitted to PubMed Central after 12 months
    • Publisher last contacted on 18/10/2013
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: A significant problem exists concerning contamination of the environment, especially air pollution, and the consequent climatic change. Considering that agricultural vehicles that use fossil fuels emit significant amounts of atmospheric pollutants, the main objective of this paper is to include techniques to reduce the fuel consumption in the controls system of robotic tractors used in agriculture tasks and thereby reduce the atmospheric emissions from these automated applications. To achieve this goal, the first step is to analyze fuel consumption in real time for each of the applications to be improved and to implement the consumption model of a robotic tractor for each task, considering the mechanical energy variations, the performance losses, the energy used to overcome friction and the energy required by the given task. For calculating the mechanical energy, the model considers the potential energy of the system, which is a function of the mass, elevation and gravity. The terrain elevations are estimated from GeoTIFF images of DEM data, which have a pixel size equal to 1 arc second (approximately 30 m at the Equator), and an accuracy of integer meters. Regarding the system mass, the possible loss of mass from applying the treatment is considered. For estimating the frictional forces, the rolling resistance coefficient of the terrain surface conditions is used.
    Computers and Electronics in Agriculture 06/2015; 114. DOI:10.1016/j.compag.2015.04.003
  • [Show abstract] [Hide abstract]
    ABSTRACT: The usage of tractors is widely extended to various non-agricultural and construction applications like with front end loaders, dozers, backhoe, etc. Tractors which are predominantly used in front end loader application requires frequent shifting of gear due to repetitive fore and aft travel requirements of the vehicle. In this application, tractors usually move forward and reverse direction at the same speed within a short duration by using a mechanical shuttle, synchro shuttle or by power shuttle transmission. This research article presents an idea on the simulation of the power shuttle transmission system of an agricultural tractor. A model of the individual component of power shuttle transmission system has been developed and integrated, to make it as a whole vehicle model, using MATLAB as a simulation platform. The model has been used to study the proportional valve characteristic, vehicle shift time and motion inversion time of modelled tractor and comparison was made between actual and simulated results. The model was validated with the help of an instrumented test tractor. The findings indicated that the time required to develop required actual system pressure was 1.85 s whereas the simulated time was 3.1 s which was optimized to 1.94 s.The simulated shift time was 5 s which was optimized to 3.1 s. Similarly the actual and simulated motion inversion time of the tractor was 6.4 s and 10 s. The modification in the model was done to bring the resemblance between actual and simulated results by providing the actual simulation environment. Thus the simulation study presented here may be beneficial in the design and simulation of other types of power transmission systems used in the tractors.
    Computers and Electronics in Agriculture 06/2015; 114. DOI:10.1016/j.compag.2015.03.006
  • Florian Schöler, Volker Steinhage
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    ABSTRACT: We propose an approach to fully-automated and sensor-based 3D reconstruction of grape cluster architecture followed by a precise, objective, and reproducible derivation of phenotypic traits. Current approaches to sensor-based phenotyping often show interactive processing steps and analyze only those parts of a plant that can be sensed by the given sensor system. Our approach employs an explicit component-based model of the architecture of grape clusters, i.e., the interconnectivity of a grape cluster’s components, the geometry of the components, and the structural and geometrical constraints of their mutual connections. Based on this model, our approach can derive in a fully automated way complete 3D reconstructions of sensed grape clusters even for cases of partial occlusions in the process of sensor data acquisition. Given a complete 3D reconstruction of a grape cluster, we can derive on the one hand well known phenotypic traits of grape clusters. On the other hand, this approach facilitates measuring and evaluating new phenotypic traits. Therefore, our approach is of interest for monitoring and yield estimations in vineyards as well as for grapevine breeders. We developed and implemented our approach within a grapevine phenotyping project. First evaluations of reconstruction results and derived phenotypic traits show a potential of this approach for automated high-throughput phenotyping. We discuss the opportunities to apply our approach to other plants and with other sensor systems.
    Computers and Electronics in Agriculture 06/2015; 114. DOI:10.1016/j.compag.2015.04.001
  • [Show abstract] [Hide abstract]
    ABSTRACT: Detection of fruit in tree images has been the focus of numerous studies. Although most studies considered approaches based primarily on color analysis, the major drawback of such approaches is that the fruit apparent color depends not only on variety or physiological stage but also on illumination, which is inherently non-uniform within the canopy, even if artificial lighting is used. In the present work we developed a novel approach to detect apples in nighttime images by analyzing the spatial distribution of the light around highlights (“bright spots”). The approach is based on the observation that, under the artificial illumination used, apples exhibit strong specular reflection so that a small, but very bright, spot is visible on almost all apples. Each of these highlights serves as the center of a region of interest and is the seed of the investigated light patch. This patch is initially very small but its size is increased iteratively by annexing pixels with predefined decreasing gray level intensities. The evolution of the patch geometry is used to determine whether it corresponds to an apple. The approach was tested with two datasets containing over 360 images (close to 13,000 apples) acquired in the same ‘Golden Delicious’ orchard in July 2012 and August 2013. Twenty images from the 2012 dataset were randomly selected to develop and calibrate the procedure. The results of these 20 images were used to establish a linear relationship between the number of detected objects and the actual number of apples visible in the images (R2 ∼ 0.75). Applying the calibrated procedure to the remaining images of this dataset led to an estimate of 6739 apples compared to a visual count of 6195 apples (∼9% overestimate). Analysis of the 2013 dataset, in which the apparent size of the apples was smaller, required only adjustment of the two parameters related to apple size. Following this adjustment, 12 images were randomly selected to determine the relationship between the number of detected objects and the actual number of apples (R2 ∼ 0.74). Using this relationship, the estimated number of apples was 6687, compared to the visual count of 6713 fruits.
    Computers and Electronics in Agriculture 06/2015; 114. DOI:10.1016/j.compag.2015.04.005
  • Source
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    ABSTRACT: Farming nowadays is a complex managerial task that imposes stringent requirements on farm management information systems. In other sectors, Enterprise Resource Planning (ERP) systems are widely implemented to meet such requirements. This paper assesses the applicability of ERP systems in the agri-food domain by investigating the experiences of agri-food companies that already have implemented an ERP system. More specifically, the research has analyzed the drivers and barriers for adoption of ERP in the Dutch horticultural sector. The results show that the alignment of ERP with the specific characteristics and requirements of a company is a crucial challenge in order to capitalize the benefits of ERP. The study also shows that it is possible to deal with this challenge. The majority of the respondents (62%) is positive about of the match of the specific ERP solution with the company’s business processes during implementation. Most of these respondents have implemented a system that includes a sector-specific layer around a standard ERP solution. Moreover, it is concluded that a proper management of the orientation, selection and implementation processes is of crucial importance for a successful adoption.
    Computers and Electronics in Agriculture 06/2015; 114. DOI:10.1016/j.compag.2015.04.002
  • [Show abstract] [Hide abstract]
    ABSTRACT: Australia’s agriculture industry, particularly in the north, is characterised by supply chains of long travel distances, often in excess of 2500 km and costing up to 35% of farm gate price. Such travel distances increase the vulnerability of the industry to climatic variability and extreme events. Infrastructure investments in roads, bridges, processors and storage, along with changes in policy, have the potential to substantially reduce costs and increase resilience of the agriculture industries. In this paper, we outline the model, TRAnsport Network Strategic Investment Tool (TRANSIT) which is based on ArcGIS, and utilizes the Origin to Destination Cost Matrix solver within the Network Analyst toolkit. TRANSIT estimates the transport costs for all movements between enterprises, accommodating road conditions, vehicle types, vehicle access restrictions and regulatory requirements. TRANSIT was applied to the northern Australia livestock industry, consisting of 12 million cattle across 10,000 enterprises and 89,000 unique trips between these enterprises. Its ability to estimate the transport benefits from road upgrades, new processing facilities and biosecurity changes are shown using three priority case studies identified by industry and government.
    Computers and Electronics in Agriculture 06/2015; 114. DOI:10.1016/j.compag.2015.03.018
  • [Show abstract] [Hide abstract]
    ABSTRACT: Vuln-Indices Java-based software was developed on concepts of vulnerability to climate change of agro-ecological systems. It implements the calculation of vulnerability indices on series of state variables for assessments at both site and region levels. The tool is useful because synthetic indices help capturing complex processes and prove effective to identify the factors responsible for vulnerability and their relative importance. It is suggested that the tool may be plausible for use with stakeholders to disseminate information of climate change impacts.
    Computers and Electronics in Agriculture 06/2015; 114. DOI:10.1016/j.compag.2015.03.016
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    ABSTRACT: According to the physical properties of rice seeds, triaxial ellipsoidal particle models were established based on the multi-sphere approach, and simulations of seeds motion in a vibrating tray were performed using the discrete element method (DEM). It was shown that the normal impact force Fn of seeds action on the tray was mainly composed of transient impact and accumulation force sections. The value of transient impact force was not stable because it was influenced comprehensively by shape of seed, vibration parameter and seeds-mass-per-unit-area (SMA). The variation of accumulation force determined by impulse change of seeds was relatively stable. Simulation results indicated that its value was almost linearly varied with SMA under a certain vibration parameter, and a real-time monitoring method of seeds mass in a vibrating tray is presented in this paper.
    Computers and Electronics in Agriculture 06/2015; 114. DOI:10.1016/j.compag.2015.03.007
  • [Show abstract] [Hide abstract]
    ABSTRACT: The livestock sector in the Valencian Community (Spain) has experienced an increase in the intensity of farming with an increase in the number and size of pig and poultry facilities. The absence of previous environmental requirements in this region has produced a high concentration of facilities in some areas, and urban sprawl has resulted in many farms located in problematic areas close to villages or towns, residential areas and protected areas. Conflicts surrounding land use and environmental issues have been a problem in the region for many years. The initial step to solve this problem is to produce a territorial planning system to intervene and correct the current development and adapt to new European environmental regulations. The objectives of this study are to group farms with homogeneous characteristics in the Valencian Community and to characterise and search for spatial dependency patterns within the livestock sector. These objectives have the final aim of contributing basic scientific information to subsequent administrative planning decisions for livestock. This study presented methodology based on Geographic Information Systems and statistical methods for dividing livestock farms into zones and for characterising these areas. We obtained nineteen livestock geographical areas with unique characteristics (such as livestock species composition) and verified that these areas did not follow a spatial pattern.
    Computers and Electronics in Agriculture 06/2015; 114. DOI:10.1016/j.compag.2015.03.005
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    ABSTRACT: In the last decade deficit irrigation strategies allowed growers to deal with water shortages, while monitoring stem water potential (Ψstem) is deemed essential for maximising fruit yield and quality. However, because of the intensive labour involved in measuring Ψstem, alternative methods are desirable. The experiment described was conducted in Murcia (Spain) with adult peach trees (Prunus persica (L.) Batsch cv. Flordastar) submitted to different drip irrigation treatments, measuring Ψstem with a pressure chamber and the soil water content with a neutron probe. Agro-meteorological variables were recorded. Seasonal patterns of stem water potential provide a useful diagnostic tool for irrigation management in peach trees. Rainfall events and the meteorological conditions prevailing in autumn pointed to the resilient nature of the peach cultivar studied. Fitting Ψstem by linear regression analysis as a function of soil and atmosphere yielded a significant correlation, with the soil water content being the main contributor to estimating Ψstem. Linear regression analysis highlighted the importance of considering plant water status as a function of the peach tree cultivar, the atmospheric conditions in which it develops and the soil water conditions resulting from irrigation. A multiple linear regression equation based on soil water content in the soil profile, mean daily air vapour pressure deficit (VPDm) and growing degree hours (GDH) data explained 72% of the variance in Ψstem, and is proposed as an alternative to the field measurement of Ψstem.
    Computers and Electronics in Agriculture 06/2015; 114:7-13. DOI:10.1016/j.compag.2015.03.004
  • [Show abstract] [Hide abstract]
    ABSTRACT: Many agricultural activities can be highly enhanced by using digital technologies. One of these activities is the regulation of the quantity of water in cultivated fields, a process which is directly interwoven with the sustainability and the productivity of crops, since insufficient or excessive irrigation may not only be obstructive, but also destructive. This paper proposes a scheme based on the collaboration of an integrated system for automated irrigation management with an advanced novel routing protocol for Wireless Sensor Networks (WSNs), named ECHERP (Equalized Cluster Head Election Routing Protocol). At its core, the proposed system aims at efficiently managing water supply in cultivated fields in an automated way. The system takes into consideration the historical data and the change on the climate values to calculate the quantity of water that is needed for irrigation. In case that the change on the collected values is above a threshold more frequent data collection is proposed to minimize the necessary quantity of water. On the other hand, in case that the change of the values is below a preset threshold then the time interval to collect data can increase to save sensor energy, leading to a prolonged sensor lifetime. The results show that network lifetime using ECHERP is improved up to 1825 min and if a round is 110 s the model provides energy efficiency using smaller water quantities.
    Computers and Electronics in Agriculture 04/2015; 113. DOI:10.1016/j.compag.2015.02.004