An efficient detection method for tea leaf blight in UAV remote sensing images under intense lighting conditions based on MLDNet
Y Jiang, Z Wei, G Hu - Computers and Electronics in Agriculture, 2025 - Elsevier
The detection of tea leaf blight (TLB) in UAV remote sensing images under intense lighting
conditions is a challenging task. A large number of light spots are produced on the leaf …
conditions is a challenging task. A large number of light spots are produced on the leaf …
Predictive Analytics in Agriculture: Machine Learning for Farm Suitability Evaluation
T Mishra, PS Nair - 2024 Parul International Conference on …, 2024 - ieeexplore.ieee.org
Given the rapid increase in global population, advancements in agricultural technology are
crucial for ensuring food security and promoting sustainable farming practices. The study …
crucial for ensuring food security and promoting sustainable farming practices. The study …
Unmanned Aerial Vehicle-Enabled Deep-Learning Based Detection and Segmentation
DPS Saavedra, AR Villanueva - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Pine wilt disease (PWD) must be precisely located and detected early in order to be
managed and prevented from spreading. A deep-learning framework for segmenting and …
managed and prevented from spreading. A deep-learning framework for segmenting and …
INTEGRATION OF UAV AND LLM IN AGRICULTURAL ENVIRONMENT
SR Angamgari - 2024 - hammer.purdue.edu
Unmanned Aerial Vehicles (UAVs) are increasingly applied in agricultural tasks such as
crop monitoring, especially with AI-driven enhancements significantly increasing their …
crop monitoring, especially with AI-driven enhancements significantly increasing their …