Novel intelligent grazing strategy based on remote sensing, herd perception and UAVs monitoring

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 219, P. 108807 - 108807

Published: March 7, 2024

Language: Английский

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INTRODUCTION: PASTORAL RESILIENCE IN A CHANGING WORLD IN THE HINDU KUSH HIMALAYA

Nomadic Peoples, Journal Year: 2025, Volume and Issue: 29(1), P. 1 - 11

Published: March 4, 2025

This article was published open access under a CC BY-NC 4.0 licence: https://creativecommons.org/licenses/by-nc/4.0/ .

Language: Английский

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Using the MSFNet Model to Explore the Temporal and Spatial Evolution of Crop Planting Area and Increase Its Contribution to the Application of UAV Remote Sensing

Drones, Journal Year: 2024, Volume and Issue: 8(9), P. 432 - 432

Published: Aug. 26, 2024

Remote sensing technology can be used to monitor changes in crop planting areas guide agricultural production management and help achieve regional carbon neutrality. Agricultural UAV remote is efficient, accurate, flexible, which quickly collect transmit high-resolution data real time precision agriculture management. It widely monitoring, yield prediction, irrigation However, the application of faces challenges such as a high imbalance land cover types, scarcity labeled samples, complex changeable coverage types long-term images, have brought great limitations monitoring cultivated changes. In order solve abovementioned problems, this paper proposed multi-scale fusion network (MSFNet) model based on input feature series further combined MSFNet Model Diagnostic Meta Learning (MAML) methods, using particle swarm optimization (PSO) optimize parameters neural network. The method applied crops tomatoes. experimental results showed that average accuracy, F1-score, IoU optimized by PSO + MAML (PSML) were 94.902%, 91.901%, 90.557%, respectively. Compared with other schemes U-Net, PSPNet, DeepLabv3+, has better effect solving problem ground objects image samples provides technical support for subsequent technology. study found change different was closely related climatic conditions policies, helps use realization

Language: Английский

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Use of drone technology in animal health and management

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(3), P. 2454 - 2460

Published: March 30, 2024

In recent years, drone technology has become an important tool in animal health and management. this study, the use of management is analyzed prominent applications are discussed. Drones have been observed to be useful various fields such as monitoring status animals, early diagnosis diseases, grazing areas, search rescue, census inventory However, some challenges limitations still need overcome for effective application technology. conclusion, although positive effects on evident, further steps needed expand areas fully utilize potential

Language: Английский

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Leveraging Geospatial Technologies for Resource Optimization in Livestock Management

Journal of Geoscience and Environment Protection, Journal Year: 2024, Volume and Issue: 12(10), P. 287 - 307

Published: Jan. 1, 2024

Language: Английский

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