Real-Time Monitoring of Cropping Pattern Using Geospatial Analysis

This contribution will significantly impact agricultural monitoring and decision-making processes through the integration of remote sensing and machine learning. These advancements will lead to more accurate and timely data on crop patterns, enabling better resource management and policy-making.

Bibliographic Details
Main Author: Gumma, Murali K.
Format: Ponencia
Language:Inglés
Published: International Crops Research Institute for the Semi-Arid Tropics 2024
Subjects:
Online Access:https://hdl.handle.net/10568/162671
Description
Summary:This contribution will significantly impact agricultural monitoring and decision-making processes through the integration of remote sensing and machine learning. These advancements will lead to more accurate and timely data on crop patterns, enabling better resource management and policy-making.