Automated phenotyping of permanent crops

K. Thomas McPeek; Karl Steddom; Joseph Zamudio; Paras Pant; Tyler Mullenbach

doi:10.1117/12.2262784

16 May 2017 Automated phenotyping of permanent crops

K. Thomas McPeek, Karl Steddom, Joseph Zamudio, Paras Pant, Tyler Mullenbach

Proceedings Volume 10218, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II; 1021803 (2017) https://doi.org/10.1117/12.2262784
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

AGERpoint is defining a new technology space for the growers’ industry by introducing novel applications for sensor technology and data analysis to growers of permanent crops. Serving data to a state-of-the-art analytics engine from a cutting edge sensor platform, a new paradigm in precision agriculture is being developed that allows growers to understand the unique needs of each tree, bush or vine in their operation. Autonomous aerial and terrestrial vehicles equipped with multiple varieties of remote sensing technologies give AGERpoint the ability to measure key morphological and spectral features of permanent crops. This work demonstrates how such phenotypic measurements combined with machine learning algorithms can be used to determine the variety of crops (e.g., almond and pecan trees). This phenotypic and varietal information represents the first step in enabling growers with the ability to tailor their management practices to individual plants and maximize their economic productivity.

Conference Presentation

Citation Download Citation

K. Thomas McPeek, Karl Steddom, Joseph Zamudio, Paras Pant, and Tyler Mullenbach "Automated phenotyping of permanent crops", Proc. SPIE 10218, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, 1021803 (16 May 2017); https://doi.org/10.1117/12.2262784

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