New advances in precision agriculture have focused on developing remote sensing and additional location-based, observation-based, field-measurement information with reference to spatial variability in agricultural areas. The purpose of precision-based agriculture research is to develop decision-support systems for optimal yield management while regulating inputs and conserving resources in a sustainable manner. Precision agriculture is applied to fulfill exact irrigation, fertilization, and weed and pest management requirements to maintain profitability and product quality without wasting resources.
We use agroinformatics approaches integrated with remote sensing data from various platforms (satellites, drones, and ground sensors), active and passive sensors, and development of learning models to support daily decisions for optimal management of agricultural systems.
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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.