Precision farming or
precision agriculture is an
agricultural concept relying on the existence of
in-field variability. It requires the use of new technologies, such as
global positioning (GPS),
sensors,
satellites or aerial images, and information management tools (
SIG[?]) to assess and understand variations. Collected information may be used to more precisely evaluate optimum sowing density, estimate fertilizers and other inputs needs, and to more accurately predict crop yields. Application of precision farming concepts is usually considered related to
sustainable agriculture. It seeks to avoid applying same practices to a crop, regardless of local soil/climate conditions and may help to better assess local situations of disease or lodging.
Precision farming may be used to improve a field or a farm management from several perspectives :
- agronomical perspective : adjustment of cultural practices to take into account the real needs of the crop rather (e.g., better fertilization management)
- technical perspective : better time management at the farm level (e.g. planification of agricultural activity)
- environnemental perspective : reduction of agricultural impacts (better estimation of crop nitrogen needs implying limitation of nitrogen run-off)
- economical perspective : increase of the output and/or reduction of the input, increase of efficiency (e.g.; lower cost of nitrogen fertilization practice)
Other benefits for the farmer may be to help him set an history of his/her farm practices and results, to help him in his decision making and traceability requirements (as increasingly required in developed countries).
See also integrated farming[?], sustainable agriculture, organic farming, pest management[?], fertilization management[?]
- http://www.pioneer.com/precision-farming (http://www.pioneer.com/usa/technology/precision-farming-management-zones.htm)
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