Huge Demand for Artificial Intelligence in Precision Farming Industry

Huge Demand for Artificial Intelligence in Precision Farming Industry

Precision Agriculture (PA), Satellite Agriculture, or Site Specific Plant Management (SSCM) is a concept for agricultural management based on observing, measuring, and responding to inter-field and intra-field variability in crops. The aim of precision agriculture research is to define a decision support system (DSS) for the entire farm management, with the aim of optimizing the yields from inputs and at the same time conserving resources.

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Some of the key players of Artificial Intelligence in Precision Farming Industry:

Microsoft, IBM, Intel, SAP, Agribotix, The Climate Corporation, Taranis, aWhere, Precision Hawk, DTN, Resson, Vision Robotics, CropX, John Deere, Gamaya, Cainthus, Harvest Croo Robotics

Among these many approaches is a phytogeomorphological approach that links the perennial stability / properties of plant growth with topological terrain attributes. The interest in the phytogeomorphological approach stems from the fact that the geomorphological component typically determines the hydrology of the agricultural field.

The practice of precision farming was made possible by the advent of GPS and GNSS. The farmer's and / or researcher's ability to pinpoint his or her exact position in a field enables the creation of maps of the spatial variability of as many variables as can be measured (e.g. crop yield, terrain features / topography, organic matter content , Moisture content, nitrogen content, pH, EC, Mg, K and others). Similar data is collected from sensor arrays mounted on GPS-equipped combines.

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