[HTML][HTML] Transforming weed management in sustainable agriculture with artificial intelligence: A systematic literature review towards weed identification and deep …
In the face of increasing agricultural demands and environmental concerns, the effective
management of weeds presents a pressing challenge in modern agriculture. Weeds not only …
management of weeds presents a pressing challenge in modern agriculture. Weeds not only …
[HTML][HTML] Advances in ground robotic technologies for site-specific weed management in precision agriculture: A review
Robotics and variable rate technology (VRT) have shown great potential for site-specific
weed management (SSWM), but these technologies face several challenges like accurate …
weed management (SSWM), but these technologies face several challenges like accurate …
Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
Crop protection is a key activity for the sustainability and feasibility of agriculture in a current
context of climate change, which is causing the destabilization of agricultural practices and …
context of climate change, which is causing the destabilization of agricultural practices and …
Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control
Competition for nutrients between intra-row weeds and cultivated vegetables is a major
contributor to reduced crop yields. Compared with manual weeding, intelligent robots can …
contributor to reduced crop yields. Compared with manual weeding, intelligent robots can …
[HTML][HTML] Analysis of Stable Diffusion-derived fake weeds performance for training Convolutional Neural Networks
Weeds challenge crops by competing for resources and spreading diseases, impacting crop
yield and quality. Effective weed detection can enhance herbicide application, thus reducing …
yield and quality. Effective weed detection can enhance herbicide application, thus reducing …
[HTML][HTML] Advanced drone-based weed detection using feature-enriched deep learning approach
This research addresses the pressing challenge of weed identification in agriculture, crucial
for ensuring food security in anticipation of a global population exceeding 9.7 billion by …
for ensuring food security in anticipation of a global population exceeding 9.7 billion by …
[HTML][HTML] Development and evaluation of a machine vision and deep learning-based smart sprayer system for site-specific weed management in row crops: An edge …
Traditional weed management often involves blanket herbicide spraying, resulting in
substantial herbicide wastage, environmental concerns, and herbicide resistant issues …
substantial herbicide wastage, environmental concerns, and herbicide resistant issues …
[HTML][HTML] A mixed-autonomous robotic platform for intra-row and inter-row weed removal for precision agriculture
The presence of weeds poses a common and persistent problem in crop cultivation,
affecting both yield and overall agricultural productivity. Common solutions to the problem …
affecting both yield and overall agricultural productivity. Common solutions to the problem …
[HTML][HTML] The YOLO framework: A comprehensive review of evolution, applications, and benchmarks in object detection
This paper provides a comprehensive review of the YOLO (You Only Look Once) framework
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …
Performance evaluation of semi-supervised learning frameworks for multi-class weed detection
Precision weed management (PWM), driven by machine vision and deep learning (DL)
advancements, not only enhances agricultural product quality and optimizes crop yield but …
advancements, not only enhances agricultural product quality and optimizes crop yield but …