Deep learning-based leaf disease detection in crops using images for agricultural applications
The agricultural sector plays a key role in supplying quality food and makes the greatest
contribution to growing economies and populations. Plant disease may cause significant …
contribution to growing economies and populations. Plant disease may cause significant …
Application of drone surveillance for advance agriculture monitoring by Android application using convolution neural network
Plant diseases are a significant threat to global food security, impacting crop yields and
economic growth. Accurate identification of plant diseases is crucial to minimize crop loses …
economic growth. Accurate identification of plant diseases is crucial to minimize crop loses …
[HTML][HTML] Deep learning methods for enhanced stress and pest management in market garden crops: A comprehensive analysis
MGF Odounfa, CDSJ Gbemavo, SPG Tahi… - Smart Agricultural …, 2024 - Elsevier
Various deep learning methods are employed to detect stress and diseases in market
garden crops, as well as to assess their severity. This study aims to comprehensively …
garden crops, as well as to assess their severity. This study aims to comprehensively …
[HTML][HTML] Leveraging Convolutional Neural Networks for Disease Detection in Vegetables: A Comprehensive Review
Timely and accurate detection of diseases in vegetables is crucial for effective management
and mitigation strategies before they take a harmful turn. In recent years, convolutional …
and mitigation strategies before they take a harmful turn. In recent years, convolutional …
Impact of datasets on the effectiveness of MobileNet for beans leaf disease detection
Bean is a widely cultivated crop worldwide; however, it is susceptible to various diseases
that can adversely affect the quality of beans, including rust and angular leaf spot diseases …
that can adversely affect the quality of beans, including rust and angular leaf spot diseases …
GSAtt-CMNetV3: Pepper leaf disease classification using osprey optimization
Nowadays, the demand for pepper keeps on increasing with the increase in human
population. Accurate diagnosis, flawless identification, and early detection of the lesions will …
population. Accurate diagnosis, flawless identification, and early detection of the lesions will …
[HTML][HTML] IoT enabled prediction of agriculture's plant disease using improvedϖ quantum whale optimization DRDNN approach
M Sowmiya, S Krishnaveni - Measurement: Sensors, 2023 - Elsevier
The population of the earth is increasing at a very rapid rate. Ensuring access to nutritious
food is essential to the survival of the world's population, given this continued growth …
food is essential to the survival of the world's population, given this continued growth …
[PDF][PDF] Plant Disease Detection Using Deep Learning
B Hamed, M Hussein, A Mousa - International Journal of …, 2023 - researchgate.net
Agricultural development is a critical strategy for promoting prosperity and addressing the
challenge of feeding nearly 10 billion people by 2050. Plant diseases can significantly …
challenge of feeding nearly 10 billion people by 2050. Plant diseases can significantly …
Enhancing Agricultural Disease Detection: A Multi‐Model Deep Learning Novel Approach
Artificial intelligence, especially deep learning, has attracted significant interest in
bioinformatics, with prominent applications in precision agriculture. A significant threat to the …
bioinformatics, with prominent applications in precision agriculture. A significant threat to the …
A Multimodal Deep Learning Approach for Advanced Plant Disease Prediction
S Pandey, A Somaddar, S Jain, S Perti… - 2023 1st DMIHER …, 2023 - ieeexplore.ieee.org
Excellent craftsmanship food is provided by the farming industry, which is also a major
engine of GDP growth and demographic supports. Plants ailments, nevertheless, can …
engine of GDP growth and demographic supports. Plants ailments, nevertheless, can …