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.

Original research papers
Review articles
Application notes
Book reviews

Editors-in-Chief
John K. Schueller (Chair Editor)
University of Florida, Gainesville, Florida, USA Email John K. Schueller (Chair Editor)
Spyros Fountas
Agricultural University of Athens, Athens, Greece
Yong He
Zhejiang University, Hangzhou, China
Angela Ribeiro
Center for Automation and Robotics, Madrid, Spain
Daniel Schmoldt
U.S. Department of Agriculture (USDA), Madison, Wisconsin, USA
Stephen Symons
Canadian Grain Commission, Winnipeg, Manitoba, Canada
Qin Zhang
Washington State University, Prosser, Washington, USA
Associate Editors
Dr. Andrew Higgins
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Dutton Park, Queensland, Australia Agricultural economy; landscape planning; DCS; Operations research
Assist. Prof. Tomás Norton
KU Leuven, Leuven, Belgium
Dr. Chenghai Yang
U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Weslaco, Texas, USA Remote sensing; Hyperspectral imagery; Machine vision
Editorial Advisory Board
V.I. Adamchuk
University of Nebraska at Lincoln, Lincoln, Nebraska, USA
J-M. Aerts
KU Leuven, Leuven, Belgium
Y. Ampatzidis
California State University at Bakersfield, Bakersfield, California, USA
J. Bontsema
Wageningen Universiteit, Wageningen, Netherlands
C. Brewster
Aston University, Birmingham, UK
D. Cui
Zhejiang University, Hangzhou, China
L. Fu
Northwest A&F University, Yanling, China
Y. Ge
University of Nebraska at Lincoln, Lincoln, Nebraska, USA
J.W. Hofstee
Wageningen Universiteit, Wageningen, Netherlands
H. Hogeveen
Wageningen Universiteit, Wageningen, Netherlands
D. Karayel
Akdeniz University, Antalya, Turkey
M. Karkee
Washington State University, Prosser, Washington, USA
M. Kassler
Michael Kassler & Associates Pty Ltd, Northbridge, New South Wales, Australia
F. Kuhlmann
Institut für Landwirtschaftliche Betriebslehre, Giessen, Germany
D. Li
China Agricultural University, Beijing, China
R. Linker
Technion - Israel Institute of Technology, Haifa, Israel
K. Lokhorst
Livestock Research Wageningen UR, Wageningen, Netherlands
G.E. Meyer
University of Nebraska at Lincoln, Lincoln, Nebraska, USA
R.H. Mohtar
Purdue University, West Lafayette, Indiana, USA
R. Morais dos Santos
Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal
T. Oksanen
Aalto University, Espoo, Finland
J.W. Oltjen
University of California, Davis, Davis, California, USA
M. Pastell
Natural Resources Institute Finland (Luke), Helsinki, Finland
R.E. Plant
University of California, Davis, Davis, California, USA
L. Rong, PhD
Aarhus University, Aarhus, Denmark
S. Sankaran
Washington State University, Pullman, Washington, USA
S Shibusawa
Tokyo University of Agriculture and Technology, Tokyo, Japan
K.A. Sudduth
U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Columbia, Missouri, USA
E.J. van Henten
Wageningen Universiteit, Wageningen, Netherlands
G. van Straten
Wageningen Universiteit, Wageningen, Netherlands