Integrating Unmanned Aerial Vehicles (UAVs) into Modern Agrometerologica Approach for Precise, Real-Time Prediction in Crop Water
Author:
Affiliation:
1. SaveethaEngineering College,Department of ECE,Chennai,Tamilnadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10275782/10275807/10276154.pdf?arnumber=10276154
Reference15 articles.
1. IOT-based drone for improvement of crop quality in agricultural field
2. A 3D Modeling Algorithm of Ground Crop Based on Light Multi-rotor UAV Lidar Remote Sensing Data
3. An Integrated Skeleton Extraction and Pruning Method for Spatial Recognition of Maize Seedlings in MGV and UAV Remote Images
4. IntegrateNet: A Deep Learning Network for Maize Stand Counting From UAV Imagery by Integrating Density and Local Count Maps
5. Aerial Robotic Team for Complex Monitoring in Precision Agriculture
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