Cropland Suitability Assessment Using Satellite-Based Biophysical Vegetation Properties and Machine Learning

The determination of cropland suitability is a major step for adapting to the increased food demands caused by population growth, climate change and environmental contamination. This study presents a novel cropland suitability assessment approach based on machine learning, which overcomes the limita...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Dorijan Radočaj, Mladen Jurišić, Mateo Gašparović, Ivan Plaščak, Oleg Antonić
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2021-08-01
Цуврал:	Agronomy
Нөхцлүүд:	leaf area index (LAI) fraction of absorbed photosynthetically active radiation (FAPAR) random forest (RF) support vector machine (SVM) soybean GIS-based multicriteria analysis
Онлайн хандалт:	https://www.mdpi.com/2073-4395/11/8/1620
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!