AIMC Topic: Weed Control

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Comparative Life Cycle Assessment of intra-row and inter-row weeding practices using autonomous robot systems in French vineyards.

The Science of the total environment Jun 3, 2022
Viticulture, as well as other crops, is facing obligation to reduce the use of herbicides and to develop alternatives solutions to chemical weed control. These alternatives can be achieved by mechanical weeding either using tractors or weeding robots...
Humans Animals Life Cycle Stages Crops, Agricultural Weed Control Farms Robotics
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Weed Classification from Natural Corn Field-Multi-Plant Images Based on Shallow and Deep Learning.

Sensors (Basel, Switzerland) Apr 14, 2022
Crop and weed discrimination in natural field environments is still challenging for implementing automatic agricultural practices, such as weed control. Some weed control methods have been proposed. However, these methods are still restricted as they...
Zea mays Weed Control Neural Networks, Computer Deep Learning Plant Weeds
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A novel deep learning-based method for detection of weeds in vegetables.

Pest management science Feb 2, 2022
BACKGROUND: Precision weed control in vegetable fields can substantially reduce the required weed control inputs. Rapid and accurate weed detection in vegetable fields is a challenging task due to the presence of a wide variety of weed species at var...
Weed Control Vegetables Crops, Agricultural Deep Learning Plant Weeds
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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...
Neural Networks, Computer Linear Models Weed Control Machine Learning Plant Weeds
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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...
Weed Control Crops, Agricultural Satellite Imagery Remote Sensing Technology Aircraft Algorithms Deep Learning Agriculture Plant Weeds
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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...
Weed Control Remote Sensing Technology Aircraft Humans Deep Learning 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...
Machine Learning Plant Weeds Geographic Mapping Remote Sensing Technology Poaceae Weed Control 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, ...
Pest Control Plant Diseases Weed Control Insecta Crops, Agricultural Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Animals Plant Weeds
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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...
Weed Control Cynodon Neural Networks, Computer Deep Learning Plant Weeds
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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...
Weed Control Herbicides Robotics Crop Production Crops, Agricultural
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