AIMC Topic: Plant Diseases

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Integrating deep learning for visual question answering in Agricultural Disease Diagnostics: Case Study of Wheat Rust.

Scientific reports Nov 15, 2024
This paper presents a novel approach to agricultural disease diagnostics through the integration of Deep Learning (DL) techniques with Visual Question Answering (VQA) systems, specifically targeting the detection of wheat rust. Wheat rust is a pervas...
Basidiomycota Agriculture Plant Leaves Triticum Plant Diseases Deep Learning Image Processing, Computer-Assisted
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Hyperspectral imaging analysis for early detection of tomato bacterial leaf spot disease.

Scientific reports Nov 12, 2024
Recent advancements in hyperspectral imaging (HSI) for early disease detection have shown promising results, yet there is a lack of validated high-resolution (spatial and spectral) HSI data representing the responses of plants at different stages of ...
Plant Leaves Solanum lycopersicum Machine Learning Xanthomonas Hyperspectral Imaging Plant Diseases
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Synergistic use of handcrafted and deep learning features for tomato leaf disease classification.

Scientific reports Nov 5, 2024
This research introduces a Computer-Aided Diagnosis-system designed aimed at automated detections & classification of tomato leaf diseases, combining traditional handcrafted features with advanced deep learning techniques. The system's process encomp...
Neural Networks, Computer Algorithms Plant Diseases Plant Leaves Solanum lycopersicum Deep Learning Image Processing, Computer-Assisted
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TOMMicroNet: Convolutional Neural Networks for Smartphone-Based Microscopic Detection of Tomato Biotic and Abiotic Plant Health Issues.

Phytopathology Oct 30, 2024
The image-based detection and classification of plant diseases has become increasingly important to the development of precision agriculture. We consider the case of tomato, a high-value crop supporting the livelihoods of many farmers around the worl...
Fruit Neural Networks, Computer Plant Leaves Plant Diseases Microscopy Image Processing, Computer-Assisted Solanum lycopersicum Smartphone
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CRASA: Chili Pepper Disease Diagnosis via Image Reconstruction Using Background Removal and Generative Adversarial Serial Autoencoder.

Sensors (Basel, Switzerland) Oct 27, 2024
With the recent development of smart farms, researchers are very interested in such fields. In particular, the field of disease diagnosis is the most important factor. Disease diagnosis belongs to the field of anomaly detection and aims to distinguis...
Plant Diseases Capsicum Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
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Advancements in maize disease detection: A comprehensive review of convolutional neural networks.

Computers in biology and medicine Oct 9, 2024
This review article provides a comprehensive examination of the state-of-the-art in maize disease detection leveraging Convolutional Neural Networks (CNNs). Beginning with the intrinsic significance of plants and the pivotal role of maize in global a...
Algorithms Neural Networks, Computer Zea mays Plant Diseases
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PotatoG-DKB: a potato gene-disease knowledge base mined from biological literature.

PeerJ Oct 3, 2024
BACKGROUND: Potato is the fourth largest food crop in the world, but potato cultivation faces serious threats from various diseases and pests. Despite significant advancements in research on potato disease resistance, these findings are scattered acr...
Solanum tuberosum Disease Resistance Genes, Plant Natural Language Processing Data Mining Knowledge Bases Plant Diseases
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Nondestructive Detection of Corky Disease in Symptomless 'Akizuki' Pears via Raman Spectroscopy.

Sensors (Basel, Switzerland) Sep 29, 2024
'Akizuki' pear ( Nakai) corky disease is a physiological disease that strongly affects the fruit quality of 'Akizuki' pear and its economic value. In this study, Raman spectroscopy was employed to develop an early diagnosis model by integrating suppo...
Neural Networks, Computer Support Vector Machine Plant Diseases Algorithms Pyrus Spectrum Analysis, Raman Fruit
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Artificial Intelligence Techniques in Grapevine Research: A Comparative Study with an Extensive Review of Datasets, Diseases, and Techniques Evaluation.

Sensors (Basel, Switzerland) Sep 25, 2024
In the last few years, the agricultural field has undergone a digital transformation, incorporating artificial intelligence systems to make good employment of the growing volume of data from various sources and derive value from it. Within artificial...
Plant Diseases Neural Networks, Computer Agriculture Artificial Intelligence Machine Learning Vitis Algorithms
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Integrating IoT for Soil Monitoring and Hybrid Machine Learning in Predicting Tomato Crop Disease in a Typical South India Station.

Sensors (Basel, Switzerland) Sep 24, 2024
This study develops a hybrid machine learning (ML) algorithm integrated with IoT technology to improve the accuracy and efficiency of soil monitoring and tomato crop disease prediction in Anakapalle, a south Indian station. An IoT device collected on...
Crops, Agricultural Algorithms Machine Learning Solanum lycopersicum Plant Diseases India Soil Internet of Things Support Vector Machine
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