Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring

Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring

Global food security and nutrition is suffering from unprecedented challenges. To reach a world without hunger and malnutrition by implementing precision agriculture, satellite remote sensing plays an increasingly important role in field crop monitoring and management. Alfalfa, a global widely distr...

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Bibliographic Details
Main Authors: Jiang Chen, Tong Yu, Jerome H. Cherney, Zhou Zhang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
precision agriculture
crop monitoring
alfalfa yield and quality
multisource heterogeneous satellites
data integration
Online Access:https://www.mdpi.com/2072-4292/16/5/734

Internet

https://www.mdpi.com/2072-4292/16/5/734

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