Recognition of sunflower diseases using hybrid deep learning and its explainability with AI
Sunflower is a crop that has many economic values and ornamental usages. However, its
production can be hampered due to various diseases such as downy mildew, gray mold …
production can be hampered due to various diseases such as downy mildew, gray mold …
Computer vision and machine learning for smart farming and agriculture practices
K Kalinaki, W Shafik, TJL Gutu… - Artificial intelligence tools …, 2023 - igi-global.com
The advent of cutting-edge techniques such as Computer Vision (CV) and Artificial
Intelligence (AI) have sparked a revolution in the agricultural industry, with applications …
Intelligence (AI) have sparked a revolution in the agricultural industry, with applications …
Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches
As advancements in agricultural technology unfold, machine learning and deep learning
approaches are gaining interest in robust plant disease identification. Early disease …
approaches are gaining interest in robust plant disease identification. Early disease …
Security and privacy-preservation of iot data in cloud-fog computing environment
IoT is the fastest-growing technology with a wide range of applications in various domains.
IoT devices generate data from a real-world environment every second and transfer it to the …
IoT devices generate data from a real-world environment every second and transfer it to the …
Plant leaf disease detection and classification using modified transfer learning models
M Srivastava, J Meena - Multimedia Tools and Applications, 2024 - Springer
Agriculture is a dominating field that plays an essential role in the economic development of
any country. In India, agriculture contributes about 17% of the total GDP. But, decreasing …
any country. In India, agriculture contributes about 17% of the total GDP. But, decreasing …
A review on secure cloud resource management
Security is always a prime concern of every cloud user. Many pioneer surveys have been
done concerning security during data communication among owners, users, and …
done concerning security during data communication among owners, users, and …
Plant disease recognition using residual convolutional enlightened Swin transformer networks
Agriculture plays a pivotal role in the economic development of a nation, but, growth of
agriculture is affected badly by the many factors one such is plant diseases. Early stage …
agriculture is affected badly by the many factors one such is plant diseases. Early stage …
[HTML][HTML] LeafSpotNet: A deep learning framework for detecting leaf spot disease in jasmine plants
Leaf blight spot disease, caused by bacteria and fungi, poses a threat to plant health,
leading to leaf discoloration and diminished agricultural yield. In response, we present a …
leading to leaf discoloration and diminished agricultural yield. In response, we present a …
Spectral data driven machine learning classification models for real time leaf spot disease detection in brinjal crops
This study presents the development and evaluation of machine learning models for
detecting leaf spot disease in brinjal crops using spectral sensor data. The spectral …
detecting leaf spot disease in brinjal crops using spectral sensor data. The spectral …
Plant Leaf Disease Detection using Machine Learning
K Prabavathy, M Bharath… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
Plant leaf disease detection is a critical task in modern agriculture to ensure better crop yield
and quality. This provides a unique strategy for detecting plant leaf disease using machine …
and quality. This provides a unique strategy for detecting plant leaf disease using machine …