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 …
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 …
Automated plant leaf disease detection and classification using optimal MobileNet based convolutional neural networks
S Ashwinkumar, S Rajagopal, V Manimaran… - Materials Today …, 2022 - Elsevier
Agriculture is the major occupation in India and it loses 35% of the crop productivity annually
owing to plant diseases. Earlier plant disease detection is a tedious process because of …
owing to plant diseases. Earlier plant disease detection is a tedious process because of …
Classification of citrus diseases using optimization deep learning approach
Most plant diseases have apparent signs, and today's recognized method is for an expert
plant pathologist to identify the disease by looking at infected plant leaves using a …
plant pathologist to identify the disease by looking at infected plant leaves using a …
Classification of citrus plant diseases using deep transfer learning
In recent years, the field of deep learning has played an important role towards automatic
detection and classification of diseases in vegetables and fruits. This in turn has helped in …
detection and classification of diseases in vegetables and fruits. This in turn has helped in …
Convolutional neural network for automatic identification of plant diseases with limited data
Automated identification of plant diseases is very important for crop protection. Most
automated approaches aim to build classification models based on leaf or fruit images …
automated approaches aim to build classification models based on leaf or fruit images …
Designing self attention-based ResNet architecture for rice leaf disease classification
A Stephen, A Punitha, A Chandrasekar - Neural Computing and …, 2023 - Springer
In India, rice crops are very significant. Rice cultivation comprises several phases, and it is
crucial to keep an eye on the crop's development to avoid any leaf diseases and to provide a …
crucial to keep an eye on the crop's development to avoid any leaf diseases and to provide a …
CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile
MG Lanjewar, JS Parab - Multimedia Tools and Applications, 2024 - Springer
Leaf and fruit infections are the primary cause of the maximum harm to the crop, which
decreases the quality and amount of the goods. To improve the productivity of plants, the …
decreases the quality and amount of the goods. To improve the productivity of plants, the …
Leaf disease image retrieval with object detection and deep metric learning
Y Peng, Y Wang - Frontiers in Plant Science, 2022 - frontiersin.org
Rapid identification of plant diseases is essential for effective mitigation and control of their
influence on plants. For plant disease automatic identification, classification of plant leaf …
influence on plants. For plant disease automatic identification, classification of plant leaf …
Apple leaf disease identification via improved CycleGAN and convolutional neural network
The identification of apple leaf diseases is crucial to reduce yield reduction and timely take
disease control measures. Employing deep learning for apple leaf disease identification is …
disease control measures. Employing deep learning for apple leaf disease identification is …