Pre-Harvest Corn Grain Moisture Estimation Using Aerial Multispectral Imagery and Machine Learning Techniques

Corn grain moisture (CGM) is critical to estimate grain maturity status and schedule harvest. Traditional methods for determining CGM range from manual scouting, destructive laboratory analyses, and weather-based dry down estimates. Such methods are either time consuming, expensive, spatially inaccu...

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Hlavní autoři:	Pius Jjagwe, Abhilash K. Chandel, David Langston
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-12-01
Edice:	Land
Témata:	aerial multispectral sensing corn grain moisture machine learning precision harvest
On-line přístup:	https://www.mdpi.com/2073-445X/12/12/2188
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