Multimodal Deep Learning Models in Precision Agriculture: Cotton Yield Prediction Based on Unmanned Aerial Vehicle Imagery and Meteorological Data

Multimodal Deep Learning Models in Precision Agriculture: Cotton Yield Prediction Based on Unmanned Aerial Vehicle Imagery and Meteorological Data

This study investigates a multimodal deep learning framework that integrates unmanned aerial vehicle (UAV) multispectral imagery with meteorological data to predict cotton yield. The study analyzes the impact of different neural network architectures, including the CNN feature extraction layer, the...

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Bibliographic Details
Main Authors: Chunbo Jiang, Xiaoshuai Guo, Yongfu Li, Ning Lai, Lei Peng, Qinglong Geng
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agronomy
Subjects:
UAV multispectral imagery
meteorological data integration
cotton
multimodal deep learning
precision agriculture
Online Access:https://www.mdpi.com/2073-4395/15/5/1217
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