Precision agriculture and sustainability

被引:412
作者
Bongiovanni R. [1 ]
Lowenberg-Deboer J. [2 ]
机构
[1] Natl. Inst. for Agric. Technology, Manfredi, Córdoba, Argentina
[2] Department of Agricultural Economics, Purdue University, 1145 Krannert Bldg., W. L.
关键词
Argentina; environment; GPS; sustainability; VRT;
D O I
10.1023/B:PRAG.0000040806.39604.aa
中图分类号
学科分类号
摘要
Precision Agriculture (PA) can help in managing crop production inputs in an environmentally friendly way. By using site-specific knowledge, PA can target rates of fertilizer, seed and chemicals for soil and other conditions. PA substitutes information and knowledge for physical inputs. A literature review indicates PA can contribute in many ways to long-term sustainability of production agriculture, confirming the intuitive idea that PA should reduce environmental loading by applying fertilizers and pesticides only where they are needed, and when they are needed. Precision agriculture benefits to the environment come from more targeted use of inputs that reduce losses from excess applications and from reduction of losses due to nutrient imbalances, weed escapes, insect damage, etc. Other benefits include a reduction in pesticide resistance development. One limitation of the papers reviewed is that only a few actually measured directly environmental indices, such as leaching with the use of soil sensors. Most of them estimated indirectly the environmental benefits by measuring the reduced chemical loading. Results from an on-farm trial in Argentina provide an example of how site-specific information and variable rate application could be used in maintaining profitability while reducing N applications. Results of the sensitivity analysis show that PA is a modestly more profitable alternative than whole field management, for a wide range of restrictions on N application levels. These restrictions might be government regulations or the landowner's understanding of environmental stewardship. In the example, variable rate of N maintains farm profitability even when nitrogen is restricted to less than half of the recommended uniform rate.
引用
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页码:359 / 387
页数:28
相关论文
共 64 条
[1]  
Anselin L., Spatial Econom?etrics: Methods and Models, (1988)
[2]  
Decision Reached on Sustainable Agriculture, Agronomy News, (1989)
[3]  
Babcock B.A., Pautsch G.R., Moving form uniform to variable fertilizer rates on Iowa corn: Effects on rates and returns, Journal of Agricultural and Resource Economics, 23, 2, pp. 385-400, (1998)
[4]  
Barry-Stelljes K., New Systems Research Targets Precision Agriculture's Effectiveness, (2000)
[5]  
Blackmore B.S., Wheeler P.N., Morris J., Morris R.M., Jones R.J.A., The role of precision farming in sustainable agriculture: A European perspective, Proceedings of the 2nd International Conference on Precision Agriculture, pp. 773-793, (1994)
[6]  
Bongiovanni R., A Spatial Econometric Approach to the Economics of Site-specific Nitrogen Management in Corn Production, (2002)
[7]  
Bongiovanni R., Lowenberg-DeBoer J., Precision agriculture: Economics of nitrogen management in corn using site-specific crop response estimates from a spatial regression model, Selected Paper: American Agricultural Economists Association Annual Meeting, (2001)
[8]  
Bonham J., Bosch D., The value of spatial information in evaluating pollution control policies in agriculture, Selected Paper: American Agricultural Economists Association Annual Meeting, (2001)
[9]  
Caffey R.H., Kazmierczak R.F., Avault J.W., Incorporating Multiple Stakeholder Goals into the Development and Use of a Sustainable Index: Consensus Indicators of Aquaculture Sustainability, (2001)
[10]  
Carpentier C., Bosch D., Batie S., Using spatial information to reduce costs of controlling agricultural NPS pollution, Agricultural and Resource Economics Review, 27, pp. 72-84, (1998)