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 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 …
[Retracted] Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection
The aim of this study is to evaluate infected leaf disease images. Precision agriculture's
automatic leaf disease detection system employs image acquisition, image processing …
automatic leaf disease detection system employs image acquisition, image processing …
Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges
Plant disease detection is a critical issue that needs to be focused on for productive
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
Identification of apple leaf diseases based on deep convolutional neural networks
B Liu, Y Zhang, DJ He, Y Li - Symmetry, 2017 - mdpi.com
Mosaic, Rust, Brown spot, and Alternaria leaf spot are the four common types of apple leaf
diseases. Early diagnosis and accurate identification of apple leaf diseases can control the …
diseases. Early diagnosis and accurate identification of apple leaf diseases can control the …
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 …
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 …
Deep learning for tomato diseases: classification and symptoms visualization
M Brahimi, K Boukhalfa… - Applied Artificial …, 2017 - Taylor & Francis
Several studies have invested in machine learning classifiers to protect plants from diseases
by processing leaf images. Most of the proposed classifiers are trained and evaluated with …
by processing leaf images. Most of the proposed classifiers are trained and evaluated with …
A deep learning-based approach for banana leaf diseases classification
Plant diseases are important factors as they result in serious reduction in quality and
quantity of agriculture products. Therefore, early detection and diagnosis of these diseases …
quantity of agriculture products. Therefore, early detection and diagnosis of these diseases …
A deep-learning-based real-time detector for grape leaf diseases using improved convolutional neural networks
X Xie, Y Ma, B Liu, J He, S Li, H Wang - Frontiers in plant science, 2020 - frontiersin.org
Black rot, Black measles, Leaf blight and Mites of grape are four common grape leaf
diseases that seriously affect grape yield. However, the existing research lacks a real-time …
diseases that seriously affect grape yield. However, the existing research lacks a real-time …