AIMC Topic: Plant Weeds

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Estimation of Off-Target Dicamba Damage on Soybean Using UAV Imagery and Deep Learning.

Sensors (Basel, Switzerland) Mar 19, 2023
Weeds can cause significant yield losses and will continue to be a problem for agricultural production due to climate change. Dicamba is widely used to control weeds in monocot crops, especially genetically engineered dicamba-tolerant (DT) dicot crop...
Crops, Agricultural Herbicides Deep Learning Plant Weeds Dicamba Unmanned Aerial Devices Glycine max Plant Breeding
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Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton.

Scientific reports Nov 15, 2022
Site-specific treatment of weeds in agricultural landscapes has been gaining importance in recent years due to economic savings and minimal impact on the environment. Different detection methods have been developed and tested for precision weed manag...
Neural Networks, Computer Plant Weeds Deep Learning Poaceae Biomass Crops, Agricultural Image Processing, Computer-Assisted Gossypium
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A deep learning-based method for classification, detection, and localization of weeds in turfgrass.

Pest management science Aug 11, 2022
BACKGROUND: Precision spraying of synthetic herbicides can reduce herbicide input. Previous research demonstrated the effectiveness of using image classification neural networks for detecting weeds growing in turfgrass, but did not attempt to discrim...
Neural Networks, Computer Deep Learning Weed Control Plant Weeds Herbicides
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An Improved Deep Neural Network Model of Intelligent Vehicle Dynamics via Linear Decreasing Weight Particle Swarm and Invasive Weed Optimization Algorithms.

Sensors (Basel, Switzerland) Jun 21, 2022
We propose an improved DNN modeling method based on two optimization algorithms, namely the linear decreasing weight particle swarm optimization (LDWPSO) algorithm and invasive weed optimization (IWO) algorithm, for predicting vehicle's longitudinal-...
Computer Simulation Plant Weeds Neural Networks, Computer Algorithms
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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 Deep Learning Plant Weeds Neural Networks, Computer
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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...
Plant Weeds Vegetables Crops, Agricultural Deep Learning Weed Control
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Weed Classification Using Explainable Multi-Resolution Slot Attention.

Sensors (Basel, Switzerland) Oct 9, 2021
In agriculture, explainable deep neural networks (DNNs) can be used to pinpoint the discriminative part of weeds for an imagery classification task, albeit at a low resolution, to control the weed population. This paper proposes the use of a multi-la...
Neural Networks, Computer Agriculture Attention Seedlings 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...
Linear Models Weed Control Machine Learning Plant Weeds Neural Networks, Computer
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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...
Plant Weeds Remote Sensing Technology Agriculture Satellite Imagery Aircraft Weed Control Algorithms Crops, Agricultural Deep Learning
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Weed and Corn Seedling Detection in Field Based on Multi Feature Fusion and Support Vector Machine.

Sensors (Basel, Switzerland) Dec 31, 2020
Detection of weeds and crops is the key step for precision spraying using the spraying herbicide robot and precise fertilization for the agriculture machine in the field. On the basis of k-mean clustering image segmentation using color information an...
Zea mays Seedlings Support Vector Machine Crops, Agricultural Plant Weeds
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