Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery [PDF]
Sensors, 2018 Chemical control is necessary in order to control weed infestation and to ensure a rice yield. However, excessive use of herbicides has caused serious agronomic and environmental problems.
Huasheng Huang +7 more
doaj +4 more sources
Transformer in UAV Image-Based Weed Mapping
Remote Sensing, 2023 Weeds affect crop yield and quality due to competition for resources. In order to reduce the risk of yield losses due to weeds, herbicides or non-chemical measures are applied.
Jiangsan Zhao +2 more
doaj +5 more sources
Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping [PDF]
Sensors, 2015 Unmanned aerial vehicles (UAVs) combined with different spectral range sensors are an emerging technology for providing early weed maps for optimizing herbicide applications.
Irene Borra-Serrano +4 more
doaj +4 more sources
Unmanned Aerial System-Based Weed Mapping in Sod Production Using a Convolutional Neural Network [PDF]
Frontiers in Plant Science, 2021 Weeds are a persistent problem on sod farms, and herbicides to control different weed species are one of the largest chemical inputs. Recent advances in unmanned aerial systems (UAS) and artificial intelligence provide opportunities for weed mapping on ...
Jing Zhang +5 more
doaj +2 more sources
A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery. [PDF]
PLoS ONE, 2018 Appropriate Site Specific Weed Management (SSWM) is crucial to ensure the crop yields. Within SSWM of large-scale area, remote sensing is a key technology to provide accurate weed distribution information.
Huasheng Huang +5 more
doaj +2 more sources
A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery [PDF]
Sensors, 2018 Weed control is necessary in rice cultivation, but the excessive use of herbicide treatments has led to serious agronomic and environmental problems. Suitable site-specific weed management (SSWM) is a solution to address this problem while maintaining ...
Huasheng Huang +6 more
doaj +2 more sources
Lightweight Semantic Segmentation Network for Real-Time Weed Mapping Using Unmanned Aerial Vehicles
Applied Sciences, 2020 The timely and efficient generation of weed maps is essential for weed control tasks and precise spraying applications. Based on the general concept of site-specific weed management (SSWM), many researchers have used unmanned aerial vehicle (UAV) remote ...
Jizhong Deng +5 more
doaj +3 more sources
European Journal of Remote Sensing, 2021 Weed control is one of the biggest challenges in organic farms or nature reserve areas where mass spraying is prohibited. Recent advancements in remote sensing and airborne technologies provide a fast and efficient means to support environmental ...
Olee Hoi Ying Lam +7 more
doaj +2 more sources
Weed Mapping with UAS Imagery and a Bag of Visual Words Based Image Classifier
Remote Sensing, 2018 Weed detection with aerial images is a great challenge to generate field maps for site-specific plant protection application. The requirements might be met with low altitude flights of unmanned aerial vehicles (UAV), to provide adequate ground ...
Michael Pflanz +2 more
doaj +3 more sources
Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops
Sensors, 2011 The main objectives of this study were to assess the accuracy of a ground-based weed mapping system that included optoelectronic sensors for weed detection, and to determine the sampling resolution required for accurate weed maps in maize crops.
José Dorado +3 more
doaj +3 more sources