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Digitizing Crop Water Use with Data-Driven Approaches

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Resource Magazine. 29(4): 14-16. @2022
Authors:   Abhilash Chandel, Basavaraj Amogi, Lav Knot, Claudio Stockle, Troy Peters
Keywords:   Crop water use, Evapotranspiration, ET maps, Multiscale Remote Sensing, Timely irrigation management.

Abstract.

Conventionally, crop evapotranspiration (ET) or water use is estimated using generalized crop coefficients and weather data. The estimation of ET can be supplemented by soil water budget, soil moisture, canopy stomatal conductance, stem water potential, and eddy covariance flux measurements. However, most of those point-sampling methods are not spatially scalable, which is necessary to realize the heterogeneous variability in a given crop at plant level. Emerging ground and remote sensing techniques can help with this challenge.

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