A review on machine learning and deep learning image-based plant disease classification for industrial farming systems
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …
plays an essential role in the farming industry. However, such detection requires extensive …
Role of internet of things and deep learning techniques in plant disease detection and classification: A focused review
The automatic detection, visualization, and classification of plant diseases through image
datasets are key challenges for precision and smart farming. The technological solutions …
datasets are key challenges for precision and smart farming. The technological solutions …
[HTML][HTML] Guava disease detection using deep convolutional neural networks: A case study of guava plants
Food production is a growing challenge with the increasing global population. To increase
the yield of food production, we need to adopt new biotechnology-based fertilization …
the yield of food production, we need to adopt new biotechnology-based fertilization …
Explainable deep learning model for automatic mulberry leaf disease classification
Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect
mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the …
mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the …
Artificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: A systematic literature review
Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide
application, and reduce risks to human and animal health. IPM is based on two important …
application, and reduce risks to human and animal health. IPM is based on two important …
A bibliometric and word cloud analysis on the role of the internet of things in agricultural plant disease detection
Agriculture has observed significant advancements since smart farming technology has
been introduced. The Green Movement played an essential role in the evolution of farming …
been introduced. The Green Movement played an essential role in the evolution of farming …
Machine learning and deep learning for plant disease classification and detection
Precision agriculture is a rapidly developing field aimed at addressing current concerns
about agricultural sustainability. Machine learning is the cutting edge technology …
about agricultural sustainability. Machine learning is the cutting edge technology …
[PDF][PDF] A novel deep learning model with the Grey Wolf Optimization algorithm for cotton disease detection
B Gülmez - Journal of Universal Computer Science, 2023 - researchgate.net
Plants are a big part of the ecosystem. Plants are also used by humans for various purposes.
Cotton is one of these important plants and is very critical for humans. Cotton production is …
Cotton is one of these important plants and is very critical for humans. Cotton production is …
A survey on pest and disease monitoring of crops
P Deepika, S Kaliraj - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
Maintenance of Crop health is essential for the successful farming for both yield and product
quality. Pest and disease in crops are serious problem to be monitored. pest and disease …
quality. Pest and disease in crops are serious problem to be monitored. pest and disease …
Apple foliar leaf disease detection through improved capsule neural network architecture
Abstract Apple Scab and Apple Rust are the major classes of apple leaf diseases that
gravely affect the apple yield. Seeking an automatic, less expensive, fast yet precise method …
gravely affect the apple yield. Seeking an automatic, less expensive, fast yet precise method …