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Proceedings Paper

Automated phenotyping of permanent crops
Author(s): K. Thomas McPeek; Karl Steddom; Joseph Zamudio; Paras Pant; Tyler Mullenbach
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Paper 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.

Paper Details

Date Published: 16 May 2017
PDF: 9 pages
Proc. SPIE 10218, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, 1021803 (16 May 2017); doi: 10.1117/12.2262784
Show Author Affiliations
K. Thomas McPeek, AGERpoint, Inc. (United States)
Karl Steddom, AGERpoint, Inc. (United States)
Joseph Zamudio, AGERpoint, Inc. (United States)
Paras Pant, AGERpoint, Inc. (United States)
Tyler Mullenbach, AGERpoint, Inc. (United States)


Published in SPIE Proceedings Vol. 10218:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II
J. Alex Thomasson; Mac McKee; Robert J. Moorhead, Editor(s)

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