[HTML][HTML] The application of deep learning in the whole potato production Chain: A Comprehensive review
The potato is a key crop in addressing global hunger, and deep learning is at the core of
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …
A systematic review of different categories of plant disease detection using deep learning-based approaches
Artificial intelligence has a significant impact on all sectors. It is revolutionizing agriculture by
replacing traditional methods with more efficient techniques and hel** the world improve …
replacing traditional methods with more efficient techniques and hel** the world improve …
Satellite imagery-based Airbus ship localization and detection using deep learning-based approaches
Due to the increasing ship trafficking, illegal fishing, cargo crimes, drug crimes, identifying
people in the sea, shipwrecked etc., it is essential to detect ships to monitor and control …
people in the sea, shipwrecked etc., it is essential to detect ships to monitor and control …
An algorithm for cattle counting in rangeland based on multi‐scale perception and image association
B Li, J Fang, Y Zhao - IET Image Processing, 2024 - Wiley Online Library
To effectively address common issues such as cattle being obscured by fences and images
prone to colour shifts and high brightness in a ranch setting, this paper proposes an …
prone to colour shifts and high brightness in a ranch setting, this paper proposes an …
Multi-branch residual image semantic segmentation combined with inverse weight gated-control
H Qu, X Wang, Y Wang, Y Chen - Image and Vision Computing, 2024 - Elsevier
The loss of pixel-level information in the multi-class segmentation task based on the U-net
model results in unclear boundaries and low semantic segmentation accuracy. Aiming at …
model results in unclear boundaries and low semantic segmentation accuracy. Aiming at …