Plant disease detection using computational intelligence and image processing
Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …
numerous countries including India. Diseases in plants/crops are the serious causes in …
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 …
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 …
Real-time detection of apple leaf diseases using deep learning approach based on improved convolutional neural networks
P Jiang, Y Chen, B Liu, D He, C Liang - Ieee Access, 2019 - ieeexplore.ieee.org
Alternaria leaf spot, Brown spot, Mosaic, Grey spot, and Rust are five common types of apple
leaf diseases that severely affect apple yield. However, the existing research lacks an …
leaf diseases that severely affect apple yield. However, the existing research lacks an …
A novel approach for rice plant diseases classification with deep convolutional neural network
Agriculture is one of the major revenue-producing fields and a source of livelihood in India.
On the largest regions in India, rice is cultivated as an essential food. It is observed that rice …
On the largest regions in India, rice is cultivated as an essential food. It is observed that rice …
[HTML][HTML] Detection of plant leaf diseases using image segmentation and soft computing techniques
V Singh, AK Misra - Information processing in Agriculture, 2017 - Elsevier
Agricultural productivity is something on which economy highly depends. This is the one of
the reasons that disease detection in plants plays an important role in agriculture field, as …
the reasons that disease detection in plants plays an important role in agriculture field, as …
An automated detection and classification of citrus plant diseases using image processing techniques: A review
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …
commonly grown fruits all over the world. The citrus producing companies create a large …
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …
production with decreased amount of agricultural lands. Machine vision would ensure the …
A deep learning enabled multi-class plant disease detection model based on computer vision
In this paper, a deep learning enabled object detection model for multi-class plant disease
has been proposed based on a state-of-the-art computer vision algorithm. While most …
has been proposed based on a state-of-the-art computer vision algorithm. While most …
Cucumber leaf disease identification with global pooling dilated convolutional neural network
S Zhang, S Zhang, C Zhang, X Wang, Y Shi - Computers and Electronics in …, 2019 - Elsevier
It is a challenging research topic to identify plant disease based on diseased leaf image
processing techniques due to the complexity of the diseased leaf images. Deep learning …
processing techniques due to the complexity of the diseased leaf images. Deep learning …