Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
Plant diseases recognition on images using convolutional neural networks: A systematic review
Plant diseases are considered one of the main factors influencing food production and
minimize losses in production, and it is essential that crop diseases have fast detection and …
minimize losses in production, and it is essential that crop diseases have fast detection and …
[HTML][HTML] Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network
Plants are susceptive to various diseases in their growing phases. Early detection of
diseases in plants is one of the most challenging problems in agriculture. If the diseases are …
diseases in plants is one of the most challenging problems in agriculture. If the diseases are …
Identification of rice plant diseases using lightweight attention networks
Rice is one of the most important crops in the world, and most people consume rice as a
staple food, especially in Asian countries. Various rice plant diseases have a negative effect …
staple food, especially in Asian countries. Various rice plant diseases have a negative effect …
Machine learning for smart agriculture and precision farming: towards making the fields talk
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …
data tsunami. In addition, man-to-machine digital data handling has magnified the …
Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
Multi-level deep learning model for potato leaf disease recognition
Potato leaf disease detection in an early stage is challenging because of variations in crop
species, crop diseases symptoms and environmental factors. These factors make it difficult …
species, crop diseases symptoms and environmental factors. These factors make it difficult …
An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning
A Khamparia, PK Singh, P Rani… - Transactions on …, 2021 - Wiley Online Library
Abstract As specified by World Health Organization, the occurrence of skin cancer has been
growing over the past decades. At present, 2 to 3 million nonmelanoma skin cancers and …
growing over the past decades. At present, 2 to 3 million nonmelanoma skin cancers and …
A robust deep attention dense convolutional neural network for plant leaf disease identification and classification from smart phone captured real world images
Plant diseases cause significant food loss and hence economic loss around the globe.
Therefore, automatic plant disease identification is a primary task to take proper medications …
Therefore, automatic plant disease identification is a primary task to take proper medications …
AI-driven framework for recognition of guava plant diseases through machine learning from DSLR camera sensor based high resolution imagery
Plant diseases can cause a considerable reduction in the quality and number of agricultural
products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in …
products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in …