Monitoring and Identifying Paddy Leaf Diseases Using Unmanned Aerial Vehicles (UAVs) with Machine Learning- A Survey
Author:
Affiliation:
1. Bharathiar University,Department of Information Technology,Coimbatore,India
2. Bharathiar University,Department of Computer Applications,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10294327/10295052/10295173.pdf?arnumber=10295173
Reference46 articles.
1. Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection;abu sarwar zamani;Journal of Food Quality,2022
2. Aerial Monitoring of Rice Crop Variables using an UAV Robotic System
3. Plant Leaf Disease Recognition Using Random Forest KNN, SVM and CNN;hatuwal;Polibits,2021
4. A new deep learning-based technique for rice pest detection using remote sensing
5. LiDAR applications in precision agriculture for cultivating crops: A review of recent advances
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