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Meta-Learning for Few-Shot Plant Disease Detection [PDF]
Foods, 2021 Plant diseases can harm crop growth, and the crop production has a deep impact on food. Although the existing works adopt Convolutional Neural Networks (CNNs) to detect plant diseases such as Apple Scab and Squash Powdery mildew, those methods have ...
Liangzhe Chen, Xiaohui Cui, Wei Li
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Plant Disease Detection Using Cnn [PDF]
ITM Web of Conferences, 2022 Plants and crops that are infected by pests have an impact on the country's agricultural production. Usually, farmers or professionals keep a close eye on the plants in order to discover and identify diseases.
Shelar Nishant +4 more
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Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations [PDF]
Frontiers in Plant ScienceAccurate and rapid plant disease detection is critical for enhancing long-term agricultural yield. Disease infection poses the most significant challenge in crop production, potentially leading to economic losses.
Abbas Jafar +4 more
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Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections [PDF]
Frontiers in Plant ScienceThis study proposes an advanced method for plant disease detection utilizing a modified depthwise convolutional neural network (CNN) integrated with squeeze-and-excitation (SE) blocks and improved residual skip connections.
Asadulla Y. Ashurov +6 more
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International Journal for Research in Applied Science and Engineering TechnologyPlant diseases pose a serious risk to the world's food security, resulting in large-scale financial losses and negatively impacting the lives of millions of people globally. Plant disease diagnostics and early identification are essential for efficient oversight and administration.
Kavita Saini +2 more
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International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: Plant growth is major requirement for framers, as it creates a path for their living, plants getting affected and their growth is related hand in hand. Framers strive to cultivate healthy crops; in spite of it plants getting affected are the major cause of crop failure.
Goutami G Manvi +4 more
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Plant Disease Diagnosing Based on Deep Learning Techniques
ARO-The Scientific Journal of Koya University, 2023 Agriculture crops are highly significant for the sustenance of human life and act as an essential source for national income development worldwide. Plant diseases and pests are considered one of the most imperative factors influencing food production ...
Saman M. Omer +2 more
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Deep Siamese Networks for Plant Disease Detection [PDF]
EPJ Web of Conferences, 2020 Crop losses are a major threat to the wellbeing of rural families, to the economy and governments, and to food security worldwide. The goal of our research is to develop a multi-functional platform to help the farming community to tilt against plant ...
Goncharov Pavel +4 more
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Research Progress of Deep Learning in Detection and Recognition of Plant Leaf Diseases
智慧农业, 2022 Accurate detection and recognition of plant diseases is the key technology to early diagnosis and intelligent monitoring of plant diseases, and is the core of accurate control and information management of plant diseases and insect pests.
SHAO Mingyue +5 more
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Cardamom Plant Disease Detection Approach Using EfficientNetV2
IEEE Access, 2022 Cardamom is a queen of spices. It is indigenously grown in the evergreen forests of Karnataka, Kerala, Tamil Nadu, and the northeastern states of India. India is the third largest producer of cardamom.
Sunil C. K. +2 more
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