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01 October 2024
Reseach Article

GreenAg: A Mobile Platform for Preservation and use of Eco-friendly Traditional Vegetable Crop Remedies in Sri Lanka

by Nipun Sandeepa, Pasindu Perera, Kavindu Shehan, Buddhima Prabashwara, Uditha Dharmakeerthi, Sanath Jayawardena
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 37
Year of Publication: 2023
Authors: Nipun Sandeepa, Pasindu Perera, Kavindu Shehan, Buddhima Prabashwara, Uditha Dharmakeerthi, Sanath Jayawardena
10.5120/ijca2023923178

Nipun Sandeepa, Pasindu Perera, Kavindu Shehan, Buddhima Prabashwara, Uditha Dharmakeerthi, Sanath Jayawardena . GreenAg: A Mobile Platform for Preservation and use of Eco-friendly Traditional Vegetable Crop Remedies in Sri Lanka. International Journal of Computer Applications. 185, 37 ( Oct 2023), 32-38. DOI=10.5120/ijca2023923178

@article{ 10.5120/ijca2023923178,
author = { Nipun Sandeepa, Pasindu Perera, Kavindu Shehan, Buddhima Prabashwara, Uditha Dharmakeerthi, Sanath Jayawardena },
title = { GreenAg: A Mobile Platform for Preservation and use of Eco-friendly Traditional Vegetable Crop Remedies in Sri Lanka },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2023 },
volume = { 185 },
number = { 37 },
month = { Oct },
year = { 2023 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number37/32932-2023923178/ },
doi = { 10.5120/ijca2023923178 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:28:02.602881+05:30
%A Nipun Sandeepa
%A Pasindu Perera
%A Kavindu Shehan
%A Buddhima Prabashwara
%A Uditha Dharmakeerthi
%A Sanath Jayawardena
%T GreenAg: A Mobile Platform for Preservation and use of Eco-friendly Traditional Vegetable Crop Remedies in Sri Lanka
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 37
%P 32-38
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

At present, most Sri Lankans do not know the eco-friendly remedies for traditional vegetable crop diseases. The purpose of this is to provide a solution for that. Using advanced techniques of NLP, Convolutional Neural Networks, Image Processing and Deep Learning, GreenAg mobile application promotes eco-friendly vegetable crop remedy conservation and traditional vegetable crop remedies in Sri Lanka. This research demonstrates the effectiveness of this application and highlights the potential to revolutionize disease management, promote sustainable practices and ensure vegetable crop safety. This eco-friendly vegetable crop remedy conservation and disease management model offers a transformative solution for sustainable vegetable crop production. It not only addresses the complexities of disease management, but also links traditional knowledge with modern technology to empower farmers and control diseases in vegetable crops.

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Index Terms

Computer Science
Information Sciences

Keywords

Model Machine Learning Convolutional Neural Networks Natural Language Processing Artificial Intelligence Chatbot Deep Learning Image Processing Agriculture Traditional Remedy