AIMC Topic: Plant Diseases

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Early () Leaf-Based Disease Detection through Computer Vision, YOLOv8, and Contrast Stretching Technique.

Sensors (Basel, Switzerland) Aug 11, 2024
() trees play a vital role in various industries and in environmental sustainability. They are widely used for paper production, timber, and as windbreaks, in addition to their significant contributions to carbon sequestration. Given their economic ...
Populus Plant Leaves Plant Diseases Neural Networks, Computer Republic of Korea Image Processing, Computer-Assisted
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From Detection to Protection: The Role of Optical Sensors, Robots, and Artificial Intelligence in Modern Plant Disease Management.

Phytopathology Aug 1, 2024
In the past decade, there has been a recognized need for innovative methods to monitor and manage plant diseases, aiming to meet the precision demands of modern agriculture. Over the last 15 years, significant advances in the detection, monitoring, a...
Agriculture Robotics Artificial Intelligence Crops, Agricultural Plant Diseases
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Utilizing High-Resolution Imaging and Artificial Intelligence for Accurate Leaf Wetness Detection for the Strawberry Advisory System (SAS).

Sensors (Basel, Switzerland) Jul 25, 2024
In strawberry cultivation, precise disease management is crucial for maximizing yields and reducing unnecessary fungicide use. Traditional methods for measuring leaf wetness duration (LWD), a critical factor in assessing the risk of fungal diseases s...
Neural Networks, Computer Botrytis Plant Leaves Fragaria Artificial Intelligence Plant Diseases Algorithms
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Field pea leaf disease classification using a deep learning approach.

PloS one Jul 25, 2024
Field peas are grown by smallholder farmers in Ethiopia for food, fodder, income, and soil fertility. However, leaf diseases such as ascochyta blight, powdery mildew, and leaf spots affect the quantity and quality of this crop as well as crop growth....
Pisum sativum Plant Diseases Ascomycota Ethiopia Deep Learning Plant Leaves
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Enhancing practicality of deep learning for crop disease identification under field conditions: insights from model evaluation and crop-specific approaches.

Pest management science Jul 19, 2024
BACKGROUND: Crop diseases can lead to significant yield losses and food shortages if not promptly identified and managed by farmers. With the advancements in convolutional neural networks (CNN) and the widespread availability of smartphones, automate...
Solanum lycopersicum Crops, Agricultural Plant Diseases Malus Solanum tuberosum Deep Learning
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Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM.

Scientific reports Jul 11, 2024
Crop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enables early an...
Plant Diseases Agriculture Plant Leaves Vitis Machine Learning Neural Networks, Computer Crops, Agricultural Image Processing, Computer-Assisted
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ESforRPD2: Expert System for Rice Plant Disease Diagnosis.

F1000Research Jul 11, 2024
One of the factors causing rice production disturbance in Indonesia is that farmers lack knowledge of early symptoms of rice plant diseases. These diseases are increasingly rampant because of the lack of experts. This study aimed to overcome this pro...
Plant Diseases Oryza Indonesia Expert Systems
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Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI.

Scientific reports Jul 6, 2024
Common beans (CB), a vital source for high protein content, plays a crucial role in ensuring both nutrition and economic stability in diverse communities, particularly in Africa and Latin America. However, CB cultivation poses a significant threat to...
Phaseolus Agriculture Plant Leaves Colombia Plant Diseases Africa Deep Learning
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PND-Net: plant nutrition deficiency and disease classification using graph convolutional network.

Scientific reports Jul 5, 2024
Crop yield production could be enhanced for agricultural growth if various plant nutrition deficiencies, and diseases are identified and detected at early stages. Hence, continuous health monitoring of plant is very crucial for handling plant stress....
Neural Networks, Computer Deep Learning Humans Plant Leaves Plant Diseases
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Optimized Wasserstein Deep Convolutional Generative Adversarial Network fostered Groundnut Leaf Disease Identification System.

Network (Bristol, England) Jul 2, 2024
Groundnut is a noteworthy oilseed crop. Attacks by leaf diseases are one of the most important reasons causing low yield and loss of groundnut plant growth, which will directly diminish the yield and quality. Therefore, an Optimized Wasserstein Deep ...
Neural Networks, Computer Algorithms Arachis Deep Learning Plant Leaves Image Processing, Computer-Assisted Plant Diseases
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