ISSN 2278-9723
 
2023, Vol: 11, Issue: 2
11/2Current Issue Online FirstArchiveAims and ScopeAbstracting & IndexingMost Accessed ArticlesMost Downloaded ArticlesMost Cited Articles

Research Article 


Agricultural Crop Disease Prediction Using Data Science Enabled Framework

AINAPARTHI SUREKHA, D SRINIVAS.

Abstract
Agricultural countries like India suffer from crop diseases that eventually lead to threatening food security besides causing huge financial losses to farmers. Most of the time, diseases prevail due to lack of infrastructure and necessary mechanisms to diagnose plant diseases at the earliest. Rapid identification of plat diseases in agriculture sector with technology innovations should be made possible. With the proliferation of smart phone technologies, remote image capturing equipment, computer vision applications and advanced machine learning techniques we are heading towards precision agriculture. However, there is still lot to be desired. In this paper we proposed a deep learning based method known as Convolutional Neural Network based Crop Disease Prediction (CNN-CDP). It has provision for improved feature selection and performance improvement with advanced configurations.

Key words: Agricultural, Science, Data, Crop .


 
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How to Cite this Article
Pubmed Style

AINAPARTHI SUREKHA, D SRINIVAS. Agricultural Crop Disease Prediction Using Data Science Enabled Framework. . 2023; 11(2): 101-106. doi:10.31838/ijccts/11.02.12

Web Style

AINAPARTHI SUREKHA, D SRINIVAS. Agricultural Crop Disease Prediction Using Data Science Enabled Framework. https://www.ijccts.org/?mno=144827 [Access: February 28, 2023]. doi:10.31838/ijccts/11.02.12

AMA (American Medical Association) Style

AINAPARTHI SUREKHA, D SRINIVAS. Agricultural Crop Disease Prediction Using Data Science Enabled Framework. . 2023; 11(2): 101-106. doi:10.31838/ijccts/11.02.12


Vancouver/ICMJE Style

AINAPARTHI SUREKHA, D SRINIVAS. Agricultural Crop Disease Prediction Using Data Science Enabled Framework. . (2023), [cited February 28, 2023]; 11(2): 101-106. doi:10.31838/ijccts/11.02.12


Harvard Style

AINAPARTHI SUREKHA, D SRINIVAS (2023) Agricultural Crop Disease Prediction Using Data Science Enabled Framework. , 11 (2), 101-106. doi:10.31838/ijccts/11.02.12


Turabian Style

AINAPARTHI SUREKHA, D SRINIVAS. 2023. Agricultural Crop Disease Prediction Using Data Science Enabled Framework. International Journal of Communication and Computer Technologies, 11 (2), 101-106. doi:10.31838/ijccts/11.02.12


Chicago Style

AINAPARTHI SUREKHA, D SRINIVAS. "Agricultural Crop Disease Prediction Using Data Science Enabled Framework." International Journal of Communication and Computer Technologies 11 (2023), 101-106. doi:10.31838/ijccts/11.02.12


MLA (The Modern Language Association) Style

AINAPARTHI SUREKHA, D SRINIVAS. "Agricultural Crop Disease Prediction Using Data Science Enabled Framework." International Journal of Communication and Computer Technologies 11.2 (2023), 101-106. Print. doi:10.31838/ijccts/11.02.12


APA (American Psychological Association) Style

AINAPARTHI SUREKHA, D SRINIVAS (2023) Agricultural Crop Disease Prediction Using Data Science Enabled Framework. International Journal of Communication and Computer Technologies, 11 (2), 101-106. doi:10.31838/ijccts/11.02.12


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