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How can unmanned aerial vehicles be used for detecting weeds in agricultural fields?
Weeds are among the most harmful abiotic factors in agriculture, triggering significant yield
loss worldwide. Remote sensing can detect and map the presence of weeds in various …
loss worldwide. Remote sensing can detect and map the presence of weeds in various …
[HTML][HTML] Performance evaluation of YOLO v5 model for automatic crop and weed classification on UAV images
For sustainability and efficiency in maintaining high crop yield and less chemically polluted
agricultural lands, precise weed map** is essential for the total implementation of site …
agricultural lands, precise weed map** is essential for the total implementation of site …
Instance segmentation method for weed detection using UAV imagery in soybean fields
Weed detection in crops is a new frontier of precision agriculture, which will enable the
distinction between desirable and undesirable plants. Accurate and efficient weed detection …
distinction between desirable and undesirable plants. Accurate and efficient weed detection …
[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] Simulation models on the ecology and management of arable weeds: structure, quantitative insights, and applications
In weed science and management, models are important and can be used to better
understand what has occurred in management scenarios, to predict what will happen and to …
understand what has occurred in management scenarios, to predict what will happen and to …
Optimized deep learning model as a basis for fast UAV map** of weed species in winter wheat crops
Weed maps should be available quickly, reliably, and with high detail to be useful for site-
specific management in crop protection and to promote more sustainable agriculture by …
specific management in crop protection and to promote more sustainable agriculture by …
[HTML][HTML] A deep learning application to map weed spatial extent from unmanned aerial vehicles imagery
Weed infestation is a global threat to agricultural productivity, leading to low yields and
financial losses. Weed detection, based on applying machine learning to imagery collected …
financial losses. Weed detection, based on applying machine learning to imagery collected …
Use of open-source object detection algorithms to detect Palmer amaranth (Amaranthus palmeri) in soybean
Site-specific weed management using open-source object detection algorithms could
accurately detect weeds in crop** systems. We investigated the use of object detection …
accurately detect weeds in crop** systems. We investigated the use of object detection …
Bean cultivar mixture allows reduced herbicide dose while maintaining high yield: A step towards more eco-friendly weed management
Integrated weed control methods are increasingly demanded to maintain high yield while
alleviating negative environmental side effects of control measures. Five field experiments …
alleviating negative environmental side effects of control measures. Five field experiments …
Monitoring the Spatial Variability of Knapweed (Centaurea diluta Aiton) in Wheat Crops Using Geostatistics and UAV Imagery: Probability Maps for Risk Assessment …
Assessing the spatial distribution of weeds within a field is a key step to the success of site-
specific weed management strategies. Centaurea diluta (knapweed) is an emerging weed …
specific weed management strategies. Centaurea diluta (knapweed) is an emerging weed …