High-throughput phenotyping of soybean maturity using time Series UAV imagery and convolutional neural networks.

Abstract: Soybean maturity is a trait of critical importance for the development of new soybean cultivars, nevertheless, its characterization based on visual ratings has many challenges.Unmanned aerial vehicles (UAVs) imagery-based high-throughput phenotyping methodologieshave been proposed as an al...

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Bibliographic Details

Main Author:	TREVISAN, R. (author)
Other Authors:	PÉREZ, O. (author), SCHMITZ, N. (author), DIERS, B. (author), MARTIN, N (author)
Format:	article
Language:	English
Published:	2020
Subjects:	MACHINE LEARNING PHYSIOLOGICAL MATURITY PLANT BREEDING GLYCINE MAX (L.) MERR SOYBEAN PHENOLOGY SOJA MEJORAMIENTO GENETICO DE PLANTAS
Online Access:	https://ainfo.inia.uy/consulta/busca?b=pc&id=61456&biblioteca=vazio&busca=61456&qFacets=61456
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