Automatic identification of diseases in grains crops through computational approaches: A review
R Manavalan - Computers and Electronics in Agriculture, 2020 - Elsevier
Agricultural productivity significantly contributes to every country's economy. The grain
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …
Rice plant disease classification using color features: a machine learning paradigm
VK Shrivastava, MK Pradhan - Journal of Plant Pathology, 2021 - Springer
In traditional practices, detection of rice plant diseases by experts is a subjective matter
whereas by testing in the laboratory is time-consuming. As a consequence, it causes …
whereas by testing in the laboratory is time-consuming. As a consequence, it causes …
Rice Disease Detection Using Artificial Intelligence and Machine Learning Techniques to Improvise Agro‐Business
Agro‐business is highly dependent on rice quality and its protection from diseases. There
are several prerequisites for the procedures and the strategies that are productive and …
are several prerequisites for the procedures and the strategies that are productive and …
Detection and classification of groundnut leaf diseases using KNN classifier
MP Vaishnnave, KS Devi, P Srinivasan… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
One of the ultimate key factors besttow less yield is disease attack. The groundnut plant
disease such as fungi, soil borne and viruses. In this paper, we are given that software …
disease such as fungi, soil borne and viruses. In this paper, we are given that software …
Automatic rice disease detection and assistance framework using deep learning and a Chatbot
Agriculture not only supplies food but is also a source of income for a vast population of the
world. Paddy plants usually produce a brown-coloured husk on the top and their seed, after …
world. Paddy plants usually produce a brown-coloured husk on the top and their seed, after …
Classification and detection of rice diseases using a 3-stage CNN architecture with transfer learning approach
Rice is a vital crop for global food security, but its production is vulnerable to various
diseases. Early detection and treatment of rice diseases are crucial to minimise yield losses …
diseases. Early detection and treatment of rice diseases are crucial to minimise yield losses …
A model for prediction of paddy crop disease using CNN
The agriculture industry is the most important industry for society as it serves the most
important need of life. But the plant diseases in agriculture lead to a decrease in productivity …
important need of life. But the plant diseases in agriculture lead to a decrease in productivity …
SVM, CNN and VGG16 classifiers of artificial intelligence used for the detection of diseases of rice crop: a review
A Verma - Sentimental Analysis and Deep Learning: Proceedings …, 2022 - Springer
The production of grains plays a vital role for the economy of any country. Smart methods
are required that accurately helps to increase the efficiency of the grain production. The use …
are required that accurately helps to increase the efficiency of the grain production. The use …
Efficient disease detection of paddy crop using CNN
PAH Vardhini, S Asritha, YS Devi - … International conference on …, 2020 - ieeexplore.ieee.org
Agriculture plays a very vital role in every individual life. Without food there exists no life in
this world. For that to happen, proper yield of crops is necessary. But these days getting …
this world. For that to happen, proper yield of crops is necessary. But these days getting …
[PDF][PDF] Paddy crop disease prediction—a transfer learning technique
Agriculture is the spinal cord of the human society because it is an essential need of every
organism that exists in this planet. Paddy cultivation is very significant so far as humans are …
organism that exists in this planet. Paddy cultivation is very significant so far as humans are …