Results 21 to 30 of about 3,630 (161)
A Field Weed Density Evaluation Method Based on UAV Imaging and Modified U-Net
Remote Sensing, 2021 Weeds are one of the main factors affecting the yield and quality of agricultural products. Accurate evaluation of weed density is of great significance for field management, especially precision weeding.
Kunlin Zou +4 more
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BonnBot-I: A Precise Weed Management and Crop Monitoring Platform
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 Cultivation and weeding are two of the primary tasks performed by farmers today. A recent challenge for weeding is the desire to reduce herbicide and pesticide treatments while maintaining crop quality and quantity. In this paper, we introduce BonnBot-I a precise weed management platform which can also performs field monitoring.
Ahmadi, Alireza +2 more
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Performance evaluation of deep learning object detectors for weed detection for cotton
Smart Agricultural Technology, 2023 Alternative non-chemical or chemical-reduced weed control tactics are critical for future integrated weed management, especially for herbicide-resistant weeds. Through weed detection and localization, machine vision technology has the potential to enable
Abdur Rahman, Yuzhen Lu, Haifeng Wang
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Weed detection in agricultural fields using machine vision [PDF]
BIO Web of ConferencesWeeds have the potential to cause significant damage to agricultural fields, so the development of weed detection and automatic weed control in these areas is very important.
Moldvai László +3 more
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Journal of Agriculture and Food Research, 2022 Site-specific weed management in Precision Agriculture is becoming a popular topic among researchers and farmers. The objective of this study was to classify weeds and crop species using RGB image texture features with the comparison of the Support ...
Sunil G C +5 more
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Crop-Weed Segmentation and Classification Using YOLOv8 Approach for Smart Farming
Journal of Studies in Science and EngineeringAccurately segmenting crop and weed images in agricultural fields is crucial for precision farming and effective weed management. This study introduces a new method that leverages the YOLOv8 object detection model for precise crop and weed segmentation ...
Sandip Sonawane, Nitin N. Patil
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Agronomy, 2015 Weed infestations and associated yield losses require effective weed control measures in soybean and sugar beet. Besides chemical weed control, mechanical weeding plays an important role in integrated weed management systems.
Christoph Kunz +2 more
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Deep convolutional neural network models for weed detection in polyhouse grown bell peppers
Artificial Intelligence in Agriculture, 2022 Conventional weed management approaches are inefficient and non-suitable for integration with smart agricultural machinery. Automatic identification and classification of weeds can play a vital role in weed management contributing to better crop yields ...
A. Subeesh +7 more
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Agronomy, 2022 Site-specific weed control offers a great potential for herbicide savings in agricultural crops without causing yield losses and additional weed management costs in the following years.
Alicia Allmendinger +4 more
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Dataset of annotated food crops and weed images for robotic computer vision control
Data in Brief, 2020 Weed management technologies that can identify weeds and distinguish them from crops are in need of artificial intelligence solutions based on a computer vision approach, to enable the development of precisely targeted and autonomous robotic weed ...
Kaspars Sudars +4 more
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