Precision agriculture is a field management strategy that makes use of information technology and furnishes data from various sources for decision-making connected with agricultural production. This type of agriculture is based on various sensing methodologies that provide the grower with guidance concerning crop rotation, optimal sowing dates, harvest dates, and soil management.
Precision agriculture can provide data on
Soil characteristics: moisture, percent organic matter, clay matter, salinity, and pH
Plant biomass and yield
Water stress
Infestation with pests, diseases, and weeds
Employment of drones in precision agriculture is growing. Choice of detectors (thermic, RGB, multi-spectral, hyperspectral) on the drone is of utmost importance for the purpose of problem identification, with which we can confront, with regards to yield, disease identification, weed infestation. Each detector has a different way of “looking” at the system. For example, water stress: transpiration is a process demanding energy investment during which temperature is reduced on leaf surfaces. In this case, thermic detection can be an effective instrument for early detection of water stress. Sometimes several detectors are chosen together and the data received are combined, integrated, and interpreted for decision-making. Displayed and discussed is an application of distant sensing for sustainable agricultural management by Dr. Tarin Paz-Kagan, presented at the brainstorming workshop of the teams under the aegis of the scientific committee of the Model Farm for Sustainable Agriculture, Newe Ya‘ar.
Click here to view the presentation: Remote sensing application for sustainable agriculture
management/Tarin Paz-Kagan
