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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 …
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 …
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
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 …
[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 …
[HTML][HTML] DeepCrop: Deep learning-based crop disease prediction with web application
Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …
disease identification is one of the most important aspects of maintaining an agriculturally …
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 …
[HTML][HTML] 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 …
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 …
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 …