AIMC Topic: Plant Diseases

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AI-IoT based smart agriculture pivot for plant diseases detection and treatment.

Scientific reports May 13, 2025
There are some key problems faced in modern agriculture that IoT-based smart farming. These problems such shortage of water, plant diseases, and pest attacks. Thus, artificial intelligence (AI) technology cooperates with the Internet of Things (IoT) ...
Internet of Things Crops, Agricultural Plant Diseases Plant Leaves Robotics Deep Learning Agriculture Artificial Intelligence
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A novel hybrid fruit fly and simulated annealing optimized faster R-CNN for detection and classification of tomato plant leaf diseases.

Scientific reports May 13, 2025
Modern agriculture increasingly relies on technologies that enhance farmers' efficiency and economic growth. One challenge is the accurate identification of disease-affected plants, whose characteristics like structure, size, texture, and color can v...
Plant Leaves Solanum lycopersicum Animals Image Processing, Computer-Assisted Plant Diseases Neural Networks, Computer Algorithms
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Smart plant disease net: Adaptive Dense Hybrid Convolution network with attention mechanism for IoT-based plant disease detection by improved optimization approach.

Network (Bristol, England) May 1, 2025
Plant diseases are rising nowadays. Plant diseases lead to high economic losses. Internet of Things (IoT) technology has found its application in various sectors. This led to the introduction of smart farming, in which IoT has been utilized to help i...
Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Internet of Things Plant Diseases
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Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm.

PloS one Jan 1, 2025
Cotton is a major cash crop, and increasing its production is extremely important worldwide, especially in agriculture-led economies. The crop is susceptible to various diseases, leading to decreased yields. In recent years, advancements in deep lear...
Deep Learning Gossypium Neural Networks, Computer Support Vector Machine Convolutional Neural Networks Plant Diseases
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Lightweight wavelet-CNN tea leaf disease detection.

PloS one Jan 1, 2025
Tea diseases can significantly impact crop yield and quality, necessitating accurate and efficient recognition methods. This study presents WaveLiteNet, a lightweight model designed for tea disease recognition, addressing the challenge of inadequate ...
Neural Networks, Computer Tea Algorithms Plant Leaves Camellia sinensis Plant Diseases Wavelet Analysis
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Apple varieties, diseases, and distinguishing between fresh and rotten through deep learning approaches.

PloS one Jan 1, 2025
Apples are one of the most productive fruits in the world, in addition to their nutritional and health advantages for humans. Even with the continuous development of AI in agriculture in general and apples in particular, automated systems continue to...
Plant Diseases Malus Image Processing, Computer-Assisted Deep Learning Fruit
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Segmentation-based lightweight multi-class classification model for crop disease detection, classification, and severity assessment using DCNN.

PloS one Jan 1, 2025
Leaf diseases in Zea mays crops have a significant impact on both the calibre and volume of maize yield, eventually impacting the market. Prior detection of the intensity of an infection would enable the efficient allocation of treatment resources an...
Plant Leaves Zea mays Crops, Agricultural Neural Networks, Computer Plant Diseases
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Early and late blight disease identification in tomato plants using a neural network-based model to augmenting agricultural productivity.

Science progress Jan 1, 2024
Computer-advanced technologies have a significant impact across various fields. It is widely recognized that diseases have a detrimental effect on crop productivity and can significantly impact the economy, particularly in agricultural countries. Tom...
Plant Leaves Solanum lycopersicum Plant Diseases Neural Networks, Computer Crops, Agricultural Agriculture
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Different stages of disease detection in squash plant based on machine learning.

Journal of biosciences Jan 1, 2022
To increase agriculture production, accurate and fast detection of plant disease is required. Expert advice is needed to detect disease in plants, nutrition deficiencies or any other abnormalities caused by extreme weather conditions. But this proces...
Unmanned Aerial Devices Machine Learning Discriminant Analysis Cucurbita Image Processing, Computer-Assisted Plant Diseases Agriculture Plant Leaves
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Machine learning for phytopathology: from the molecular scale towards the network scale.

Briefings in bioinformatics Sep 2, 2021
With the increasing volume of high-throughput sequencing data from a variety of omics techniques in the field of plant-pathogen interactions, sorting, retrieving, processing and visualizing biological information have become a great challenge. Within...
Protein Interaction Mapping NLR Proteins Bayes Theorem Disease Resistance Gene Expression Regulation Host-Pathogen Interactions Bacterial Proteins Plants Plant Diseases Support Vector Machine Fungal Proteins Viral Proteins Pathogen-Associated Molecular Pattern Molecules Protein Serine-Threonine Kinases Plant Pathology Receptors, Pattern Recognition
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