LSTM-H: A Hybrid Deep Learning Model for Accurate Livestock Movement Prediction in UAV-Based Monitoring Systems

LSTM-H: A Hybrid Deep Learning Model for Accurate Livestock Movement Prediction in UAV-Based Monitoring Systems

Accurately predicting livestock movement is a cornerstone of precision agriculture, enabling smarter resource management, improved animal welfare, and enhanced productivity. However, the unpredictable and dynamic nature of livestock behavior poses significant challenges for traditional mobility pred...

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Bibliographic Details
Main Authors: Ayub Bokani, Elaheh Yadegaridehkordi, Salil S. Kanhere
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Drones
Subjects:
livestock monitoring
AI-driven precision agriculture
UAV-based tracking
spatiotemporal forecasting
deep learning
Online Access:https://www.mdpi.com/2504-446X/9/5/346
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