Journals in Agricultural computer and electronic systems

5 results in All results

Artificial Intelligence in Agriculture

• ISSN: 2589-7217

Artificial Intelligence (AI) techniques are widely used to solve a variety of problems and to optimize the production and operation processes in the fields of agriculture, food and bio-system engineering.Artificial Intelligence in Agriculture is an Open Access journal, publishing original research, reviews and perspectives on the theory and practice of artificial intelligence (AI) in agriculture, food and bio-system engineering and related areas. Artificial Intelligence in Agriculture serves as an interdisciplinary forum to share ideas and solutions related to artificial intelligence and applications in agriculture. The journal welcomes both fundamental science and applied research describing the practical applications of AI methods in the fields of agriculture, food - and bio-system engineering and related areas.Topics of interest to the journal include, but are not limited to:AI-based decision support systemsAI-based precision agricultureSmart sensors and Internet of ThingsAgricultural robotics and automation equipmentAgricultural knowledge-based systemsComputational intelligence in agriculture, food and bio-systemsAI in agricultural optimization managementIntelligent interfaces and human-machine interactionMachine vision and image/signal processingMachine learning and pattern recognitionNeural networks, fuzzy systems, neuro-fuzzy systemsSystems modeling and analysisIntelligent systems for animal feedingExpert systems in agricultureCrop Phenotyping and analysisRemote sensing in agricultureAI technology in aquicultureAI in food engineering and cold chain logisticsBig Data and Cloud ComputingAutomatic navigation and self-driving technologyPrecision agricultural aviationDistributed ledger technology (Blockchain)The journal welcomes original research articles, review articles, perspective papers and short communications. The journal's editorial leadership welcome suggestions and proposals for special issues.Editorial Board

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Computers and Electronics in Agriculture

• ISSN: 0168-1699
• 5 Year impact factor: 8.4
• Impact factor: 7.7

Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and animal/livestock farming. Its new companion journal, Smart Agricultural Technology provides continuity for smart application being applied in production agriculture.The journal publishes original papers, reviews, and applications notes on topics pertaining to advances in the use of computers or electronics in plant or animal agricultural production, including agricultural soils, water, pests, controlled environments, structures, and wastes, as well as the plants and animals themselves. On-farm, post-harvest operations considered part of agriculture (such as drying, storage, logistics, production assessment, trimming and separation of plant and animal material) are also covered. Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics, networking, and simulation modelling.When determining the suitability of submitted manuscripts for publication, particular emphasis is placed on novelty and innovation, and the degree to which a manuscript advances the state of the art for computers/electronics in agriculture. Applying existing technology to a particular crop for the first time does not qualify as an innovation in computers/electronics for this journal. Research applying off-the-shelf hardware or software, without augmenting such technology with investigator-developed tools, innovations, or unique approaches, should be submitted to its companion journal, Smart Agricultural Technology, whose scope includes applied technology. Manuscripts that apply computers/electronics in an ancillary fashion or focus objectives and conclusions primarily on the application sciences (e.g., entomology, agronomy, engineering, economics, horticulture) should be submitted to one of those respective science journals.The journal recognizes that the use of previously published data sets (either alpha-numeric, quantitative, or imagery) can be extremely beneficial as researchers develop and prototype new machine learning or machine vision algorithms with potential application to agriculture. However, the journal views this prototyping work as preliminary in nature, and prospective authors should, prior to submitting such work to this journal, generate a more scientifically rigorous data set, collected by the authors under controlled and reported experimental conditions.

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Engineering in Agriculture, Environment and Food

• ISSN: 1881-8366

As of 2020, Engineering in Agriculture, Environment and Food is published on the https://www.jstage.jst.go.jp/browse/eaef/\_pubinfo/-char/enJ-STAGE platform.

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Information Processing in Agriculture

• ISSN: 2214-3173
• Impact factor: 7.7

The Journal of the China Agricultural UniversityInformation Processing in Agriculture (IPA) was established in 2013 to encourage the development of science and technology related to information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from information processing technologies in agriculture; • Report on experiences and publications of institutes, universities, and government, as well as profitable technologies for agriculture; • Provide a platform and opportunities for exchanging knowledge, strategies, and experiences among information processing researchers worldwide; • Promote and encourage interactions among agriculture scientists, meteorologists, biologists (pathologists/entomologists), information technology professionals, and other stakeholders to develop and implement methods, techniques, and tools related to information processing technology in agriculture; • Create and promote expert groups for the development of agro-meteorological databases, crop and livestock modeling, and applications for the development of crop performance-based decision support systems.Topics of interest include, but are not limited to, the following aspects: • Smart sensors, biosensors and bioelectronics, material and molecular innovations for chemical and biological sensing, sensors, and automation and control systems for agriculture; • Wireless sensor networks, 4G, NB-IOT, and 5G applications in agriculture; • Remote sensing and discrete element modeling (DEM) applications in agriculture; • Simulation, optimization, modeling, and automated control; • Decision support systems, intelligent systems, and artificial intelligence; • Machine vision, computer vision, image processing and automation, and imaging technologies for high-throughput phenotyping • Advances in spectroscopy and hyperspectral properties of biological products; • Advanced computational approaches for solving agricultural and biological engineering problems; • Computational fluid dynamics (CFD) applications in agriculture; • Inspection and traceability for food quality; • Precision agriculture, intelligent instruments, robotics, and co-robotics for agriculture; • Internet of things, cloud computing, and precision farming; • Big data, data mining, and data analysis for agricultural applications; • Unmanned aerial vehicles (UAVs) for sensing, imaging, and agricultural aquacultural applications.

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Smart Agricultural Technology

• ISSN: 2772-3755
• 5 Year impact factor: 6.3
• Impact factor: 6.3

Smart Agricultural Technology provides international coverage for practical applications and smart systems that integrate advanced computing with electronic instrumentation or controls for agricultural planning and production.This journal is a companion to the highly reputable Computers and Electronics in Agriculture, providing a forum for the broad application of technologies in:On-farm planning and production efficiency using new technologies (crop identification, environmental impact, energy efficiency, adoption studies, socio-economic assessment).Identification of farm zones, as it pertains to soil types and water management.Soil (preparation, monitoring, health management).Seeding, growing, harvesting, pest / disease detection.Animal health and welfare, feeding, robotic tracking and processing.On-farm storage, primary product sorting or grading, pest identification, product quality assessment.Technology applications in agronomy, horticulture, forestry, aquaculture and livestock farming are considered.The journal publishes original papers and reviews of smart technology applications pertaining to algorithm development, sensors integration, on-farm decision systems, IoT systems, as deployed on machinery, computers or smart phones, for field and enclosed controlled environmental spaces. Production modeling using farm collected data and theoretical models tested in a production environment will be considered. Relevant areas of technology include artificial intelligence, sensors, imaging, internet of things, controls and robotics.

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