AIMC Topic: Weed Control

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Detection of weeds in teff crops using deep learning and UAV imagery for precision herbicide application.

Scientific reports Aug 21, 2025
In Ethiopia, Teff is a vital staple crop, yet its productivity is significantly challenges due to inefficient weed and fertilizer management, threatening food security. Traditional weed control methods rely on manual labor and the indiscriminate appl...
Plant Weeds Remote Sensing Technology Agriculture Ethiopia Weed Control Unmanned Aerial Devices Crops, Agricultural Herbicides Deep Learning
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Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm.

Scientific reports Aug 10, 2025
Weeds and crops contribute to a endless resistance for similar assets, which leads to potential declines in crop production and enlarged agricultural expenses. Conventional models of weed control like extensive pesticide use, appear with the hassle o...
Artificial Intelligence Deep Learning Weed Control Plant Weeds Agriculture Machine Learning Crops, Agricultural Algorithms
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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 Image Processing, Computer-Assisted Weed Control Agriculture Plant Weeds
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Deep learning-based weed detection for precision herbicide application in turf.

Pest management science Feb 28, 2025
BACKGROUND: Precision weed mapping in turf according to its susceptibility to selective herbicides allows the smart sprayer to spot-spray the most pertinent herbicides onto the susceptible weeds. The objective of this study was to evaluate the feasib...
Herbicides Weed Control Neural Networks, Computer Algorithms Deep Learning Plant Weeds
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Detection and coverage estimation of purple nutsedge in turf with image classification neural networks.

Pest management science Mar 12, 2024
BACKGROUND: Accurate detection of weeds and estimation of their coverage is crucial for implementing precision herbicide applications. Deep learning (DL) techniques are typically used for weed detection and coverage estimation by analyzing informatio...
Weed Control Cynodon Plant Weeds Herbicides Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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Evaluation of two deep learning-based approaches for detecting weeds growing in cabbage.

Pest management science Feb 7, 2024
BACKGROUND: Machine vision-based precision weed management is a promising solution to substantially reduce herbicide input and weed control cost. The objective of this research was to compare two different deep learning-based approaches for detecting...
Plant Weeds Brassica Crops, Agricultural Weed Control Deep Learning
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Convolutional neural network based on the fusion of image classification and segmentation module for weed detection in alfalfa.

Pest management science Feb 1, 2024
BACKGROUND: Accurate and reliable weed detection in real time is essential for realizing autonomous precision herbicide application. The objective of this research was to propose a novel neural network architecture to improve the detection accuracy f...
Weed Control Medicago sativa Plant Weeds Neural Networks, Computer Image Processing, Computer-Assisted
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Semi-supervised learning methods for weed detection in turf.

Pest management science Jan 24, 2024
BACKGROUND: Accurate weed detection is a prerequisite for precise automatic precision herbicide application. Previous research has adopted the laborious and time-consuming approach of manually labeling and processing large image data sets to develop ...
Neural Networks, Computer Plant Weeds Weed Control Poaceae Supervised Machine Learning Deep Learning Herbicides Image Processing, Computer-Assisted
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Weed Detection Using Deep Learning: A Systematic Literature Review.

Sensors (Basel, Switzerland) Mar 31, 2023
Weeds are one of the most harmful agricultural pests that have a significant impact on crops. Weeds are responsible for higher production costs due to crop waste and have a significant impact on the global agricultural economy. The importance of this...
Weed Control Plant Weeds Crops, Agricultural Deep Learning Artificial Intelligence Agriculture
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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...
Weed Control Plant Weeds Herbicides Neural Networks, Computer Deep Learning
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