AIMC Topic: Weed Control

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Machine learning models as an alternative to determine productivity losses caused by weeds.

Pest management science Jul 21, 2021
BACKGROUND: Weed control can be economically viable if implemented at the necessary time to minimize interference. Empirical mathematical models have been used to determine when to start the weed control in many crops. Furthermore, empirical models h...
Weed Control Linear Models Neural Networks, Computer Plant Weeds Machine Learning
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A novel semi-supervised framework for UAV based crop/weed classification.

PloS one May 10, 2021
Excessive use of agrochemicals for weed controlling infestation has serious agronomic and environmental repercussions associated. An appropriate amount of pesticide/ chemicals is essential for achieving the desired smart farming and precision agricul...
Aircraft Crops, Agricultural Remote Sensing Technology Weed Control Satellite Imagery Deep Learning Plant Weeds Agriculture Algorithms
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Real-time recognition of spraying area for UAV sprayers using a deep learning approach.

PloS one Apr 1, 2021
Agricultural production is vital for the stability of the country's economy. Controlling weed infestation through agrochemicals is necessary for increasing crop productivity. However, its excessive use has severe repercussions on the environment (dam...
Humans Deep Learning Weed Control Remote Sensing Technology Aircraft Agriculture
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Testing the ability of unmanned aerial systems and machine learning to map weeds at subfield scales: a test with the weed Alopecurus myosuroides (Huds).

Pest management science May 21, 2019
BACKGROUND: It is important to map agricultural weed populations to improve management and maintain future food security. Advances in data collection and statistical methodology have created new opportunities to aid in the mapping of weed populations...
Weed Control Geographic Mapping Remote Sensing Technology Plant Weeds Machine Learning Poaceae United Kingdom
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Recognition pest by image-based transfer learning.

Journal of the science of food and agriculture Apr 22, 2019
BACKGROUND: Plant pests mainly refers to insects and mites that harm crops and products. There are a wide variety of plant pests, with wide distribution, fast reproduction and large quantity, which directly causes serious losses to crops. Therefore, ...
Insecta Plant Diseases Crops, Agricultural Image Processing, Computer-Assisted Neural Networks, Computer Plant Weeds Machine Learning Animals Humans Weed Control Pest Control
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Detection of broadleaf weeds growing in turfgrass with convolutional neural networks.

Pest management science Mar 8, 2019
BACKGROUND: Weed infestations reduce turfgrass aesthetics and uniformity. Postemergence (POST) herbicides are applied uniformly on turfgrass, hence areas without weeds are also sprayed. Deep learning, particularly the architecture of convolutional ne...
Neural Networks, Computer Plant Weeds Deep Learning Cynodon Weed Control
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Robotic weeders can improve weed control options for specialty crops.

Pest management science Feb 28, 2019
Specialty crop herbicides are not a priority for the agrochemical industry, and many of these crops do not have access to effective herbicides. High-value fruit and vegetable crops represent small markets and high potential liability in the case of h...
Crops, Agricultural Crop Production Weed Control Robotics Herbicides
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WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification.

Scientific reports Jul 2, 2025
Weed detection and classification using computer vision and deep learning techniques have emerged as crucial tools for precision agriculture, offering automated solutions for sustainable farming practices. This study presents a comprehensive approach...
Deep Learning Agriculture Plant Weeds Image Processing, Computer-Assisted Weed Control
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