Deploying densenet for cotton leaf disease detection on deep learning
Cotton trees are tropical and subtropical trees that flourish in warm climates. It is a popular,
costly as well as a cash crop. Farmers face difficulties selling their products when their …
costly as well as a cash crop. Farmers face difficulties selling their products when their …
Discovering the depths of cotton leaf disease detection: Integrating hypertuned residual networks with GradCAM XAI for enhanced understanding and diagnosis
MS Sarkar, MAS Lifat, R Hasan… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Cotton plays a pivotal role in the textile, medical, and oil industries and is considered the
world's leading cash crop. Numerous agriculture-based countries, textile sectors, and …
world's leading cash crop. Numerous agriculture-based countries, textile sectors, and …
Cotton Leaf Disease Classification Using Fine-Tuned VGG16 Deep Learning Model
A Kaur, R Sharma, S Chattopadhyay… - 2024 2nd World …, 2024 - ieeexplore.ieee.org
Textile production plays a critical role in agriculture worldwide, and the cotton crop, which is
the basis of this industry, suffers greatly from leaf diseases that are often very destructive and …
the basis of this industry, suffers greatly from leaf diseases that are often very destructive and …
A Critical Analysis of Deep Learning Applications in Crop Pest Classification: Promising Pathways and Limitations
MH Rafi, MR Mahjabin, MS Rahman… - … on Computer and …, 2023 - ieeexplore.ieee.org
Deep Learning (DL) has recently emerged as a pivotal tool in a wide variety of agricultural
end-level applications. While promising outcomes have been achieved in crop disease …
end-level applications. While promising outcomes have been achieved in crop disease …
ExE-Net: Explainable Ensemble Network for Potato Leaf Disease Classification
Potato cultivation faces significant harvest loss from several diseases, emphasizing the
importance of early and accurate disease detection. Analyzing potato leaf images using …
importance of early and accurate disease detection. Analyzing potato leaf images using …
Mycological Examination of Microscopic Fungi Images with Deep Learning and Gradient Weighted Class Activation Mapping Visualization
MS Rashid, MS Morshed, MU Islam… - 2024 Advances in …, 2024 - ieeexplore.ieee.org
Fungal species classification is an important task with broad implications for medicine,
agriculture, and ecology. Even though they work well, traditional identification techniques …
agriculture, and ecology. Even though they work well, traditional identification techniques …
A Hybrid Deep Learning Approach for Cotton Plant Disease Detection Using Bert-Resnet-Pso
C Singh, S Wibowo, APS Grandhi - Available at SSRN 5113751 - papers.ssrn.com
Cotton is one of the most valuable non-food agricultural products in the world. However,
cotton production is often hampered by the invasion of a disease. In most cases, these plant …
cotton production is often hampered by the invasion of a disease. In most cases, these plant …