Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models

Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models

Accurate crop yield prediction is crucial for formulating agricultural policies, guiding agricultural management, and optimizing resource allocation. This study proposes a method for predicting yields in China’s major winter wheat-producing regions using MOD13A1 data and a deep learning model which...

Full description

Saved in:
Bibliographic Details
Main Authors: Hongkun Fu, Jian Lu, Jian Li, Wenlong Zou, Xuhui Tang, Xiangyu Ning, Yue Sun
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
Subjects:
wheat yield prediction
GNDVI
IGWO-CNN model
remote sensing data
precision agriculture
Online Access:https://www.mdpi.com/2073-4395/15/1/205
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items