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
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.