Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning

Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning

Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the environment. Recently, unmanned aerial vehicles (...

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Bibliographic Details
Main Authors: Chen Sun, Luwei Feng, Zhou Zhang, Yuchi Ma, Trevor Crosby, Mack Naber, Yi Wang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
hyperspectral imaging
machine learning
tuber yield
tuber set
unmanned aerial vehicles
Online Access:https://www.mdpi.com/1424-8220/20/18/5293

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