From Event: SPIE Commercial + Scientific Sensing and Imaging, 2017
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.
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 (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 10, 2017; Published: 16 May 2017); https://doi.org/10.1117/12.2262784.
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Study of self-shadowing effect as a simple means to realize nanostructured thin films and layers with special attentions to birefringent obliquely deposited thin films and photo-luminescent porous silicon