Applications of Machine Learning and Remote Sensing in Crop and Vegetation Monitoring - Couverture rigide

Couverture rigide

ISBN 10 : 372588269X ISBN 13 : 9783725882694

Editeur : Mdpi AG, 2026

Synopsis

This Reprint presents a collection of cutting-edge research on the integration of machine learning and remote sensing technologies for precision agriculture. Vegetation plays a critical role in the Earth's system, influencing global change, climate, hydrological cycles, and biochemical processes. The combination of high-resolution remote sensing data with advanced machine learning algorithms offers new solutions for monitoring vegetation status. The articles within this Reprint explore a wide range of applications, including the estimation of crop biophysical parameters such as leaf area index and chlorophyll content, the prediction of yield, the detection of diseases and pests in fruits and vegetables, and the monitoring of agricultural droughts. The research covers diverse techniques, from using object detection models for fruit quality assessment to synergizing multispectral and radar data, and from applying discrete wavelet transforms to RGB images for chlorophyll estimation to reconstructing solar-induced chlorophyll fluorescence for drought monitoring. Collectively, this Reprint demonstrates how intelligent data analysis can enhance crop monitoring, support sustainable vegetation restoration strategies, and improve water resource management. It serves as a valuable resource for researchers, agronomists, and practitioners seeking to apply state-of-the-art computational methods to tackle current challenges in agriculture and vegetation science.

Détails de l'édition

• Éditeur: Mdpi AG
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 372588269X
• ISBN 13: 9783725882694
• Reliure: Tapa dura
• Nombre de pages: 302
• Éditeur: Liu Yangyang, Zhang Wei
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible