[HTML][HTML] The digitization of agricultural industry–a systematic literature review on agriculture 4.0
Agriculture is considered one of the most important sectors that play a strategic role in
ensuring food security. However, with the increasing world's population, agri-food demands …
ensuring food security. However, with the increasing world's population, agri-food demands …
Plant disease detection and classification by deep learning—a review
L Li, S Zhang, B Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning is a branch of artificial intelligence. In recent years, with the advantages of
automatic learning and feature extraction, it has been widely concerned by academic and …
automatic learning and feature extraction, it has been widely concerned by academic and …
Identification of plant-leaf diseases using CNN and transfer-learning approach
The timely identification and early prevention of crop diseases are essential for improving
production. In this paper, deep convolutional-neural-network (CNN) models are …
production. In this paper, deep convolutional-neural-network (CNN) models are …
[HTML][HTML] Using deep transfer learning for image-based plant disease identification
Plant diseases have a disastrous impact on the safety of food production, and they can
cause a significant reduction in both the quality and quantity of agricultural products. In …
cause a significant reduction in both the quality and quantity of agricultural products. In …
Deep learning system for paddy plant disease detection and classification
Automatic detection and analysis of rice crop diseases is widely required in the farming
industry, which can be utilized to avoid squandering financial and other resources, reduce …
industry, which can be utilized to avoid squandering financial and other resources, reduce …
Automation in agriculture by machine and deep learning techniques: A review of recent developments
Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
[HTML][HTML] Development of Efficient CNN model for Tomato crop disease identification
Tomato is an important vegetable crop cultivated worldwide coming next only to potato.
However, the crop can be damaged due to various diseases. It is important for the farmer to …
However, the crop can be damaged due to various diseases. It is important for the farmer to …
[HTML][HTML] Identification of plant leaf diseases using a nine-layer deep convolutional neural network
G Geetharamani, A Pandian - Computers & Electrical Engineering, 2019 - Elsevier
In this paper, we proposed a novel plant leaf disease identification model based on a deep
convolutional neural network (Deep CNN). The Deep CNN model is trained using an open …
convolutional neural network (Deep CNN). The Deep CNN model is trained using an open …
Machine learning in agriculture: A review
Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …
to create new opportunities for data intensive science in the multi-disciplinary agri …
Cardamom plant disease detection approach using EfficientNetV2
Cardamom is a queen of spices. It is indigenously grown in the evergreen forests of
Karnataka, Kerala, Tamil Nadu, and the northeastern states of India. India is the third largest …
Karnataka, Kerala, Tamil Nadu, and the northeastern states of India. India is the third largest …