Site-specific management: the application of information technology to crop production |
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| Authors: | Richard E Plant |
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| Institution: | 1. Rural Innovation Research Group, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Victoria 3010, Australia;2. DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand;3. Knowledge, Technology and Innovation Group, Wageningen University, Wageningen, The Netherlands;1. College of Engineering, China Agricultural University, Beijing 100083, China;2. The Soil-Machine-Plant Key Laboratory of the Ministry of Agriculture of China, Beijing 100083, China;1. Department of Entomology, The Pennsylvania State University, University Park, PA, United States;2. Department of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, University Park, PA, United States;3. National Research Council of Italy, Turin, Italy;4. ZedX, Inc., Bellefonte, PA, United States;1. Land Economy, Environment and Society Research Group, SRUC, Edinburgh EH9 3JG, United Kingdom;2. European Commission, Joint Research Centre (JRC), Directorate Sustainable Resources, Economics of Agriculture, Edificio Expo, Calle Inca Garcilaso 3, E-41092 Seville, Spain;3. Agentschap Innoveren en Ondernemen (VLAIO) Koning Albert II-laan 35 bus 12, 1030 Brussels, Belgium;4. Institute for Agriculture, Fisheries and Food research (ILVO), Burgemeester Van Gansberghelaan 92 box 1, 9820 Merelbeke, Belgium;5. Agricultural University of Athens, Iera Odos 75, 118 55, Athens, Greece;6. Institute for Bio-Economy & Agro-Technology, Centre of Research & Technology Hellas, 6th km Charilaou-Thermis, 57001, Thessaloniki, Greece;7. Wageningen Environmental Research (Alterra), P.O. Box 47, 6700 AA Wageningen, the Netherlands |
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| Abstract: | Site-specific management (SSM; also called, precision agriculture) is the management of agricultural crops at a spatial scale smaller than that of the whole field. Widespread farmer adoption of SSM practices is contingent on its economic advantage. Three criteria that must be satisfied in order for SSM to be justified are, (1) that significant within-field spatial variability exists in factors that influence crop yield, (2) that, causes of this variability can be identified and measured, and (3) that, the information from these measurements can be used to modify crop management practices to increase profit or decrease environmental impact. The objective of this paper is to review the state of SSM at the turn of the millennium and to offer some speculation as to its future course. The review is organized around the essential components of SSM listed above, i.e. measuring spatial variability, analyzing the data obtained from these measurements, using information gained from this analysis to effect changes in management practices, and determining whether the resulting benefits are worth the costs. The discussion section considers some potential effects of large-scale adoption of SSM, should this adoption occur. |
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| Keywords: | Agriculture Crop yield Crop management |
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