Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2980
Title: AGventure: Creating a Sustainable Economy by Reducing Food Surpluses and Food Wastages through the Crop Management
Authors: Hennayaka, H. M.H. H
Dissanayaka, D. M.I. S
Silva, A. M. U
Sakuntha, N. M. K
Dassanayake, D.M.G
Jayasinghe, J. A. D.T. B
Keywords: AGventure
Sustainable Economy
Reducing Food Surpluses
Food Wastages
Crop Management
Issue Date: 18-Jul-2022
Publisher: IEEE
Citation: H. H. M. H. H, D. D. M. I. S, S. A. M. U, S. N. M. K, D. D. M. G. T and J. J. A. D. T. B, "AGventure: Creating a Sustainable Economy by Reducing Food Surpluses and Food Wastages through the Crop Management," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, pp. 1-6, doi: 10.1109/I2CT54291.2022.9825094.
Series/Report no.: 2022 IEEE 7th International conference for Convergence in Technology (I2CT);
Abstract: Since ancient times, Sri Lanka has always been an agriculturally focused country with agriculture as a top priority. But the economic sustainability of Sri Lanka is deteriorating day by day due to the lack of proper awareness and understanding of crop cultivation among the farmers. Sri Lankan farmers produce more vegetables than they need for home consumption each year, but only a small portion is exported. When an economy has a food surplus, rising costs for certain goods discourage consumers and reduce demand for those goods. As a result, there is a surplus of commodities in the economy and a significant amount of goods are discarded. Food surplus and food wastage are the major problems leading to economic and environmental degradation in Sri Lanka. "AGventure: Creating sustainable economy by reducing food surpluses and food wastage through the crop management." has been proposed as a mobile application-based solution. The primary goal of this research is to better understand the current food surplus and food waste to address the economic and environmental sustainability crisis in Sri Lanka. The proposed mobile application mentioned above will enable farmers to minimize problems arising in all processes from crop forecasting to handing over the products to the consumer for final consumption. The proposed system is mainly based on crop prediction, Price prediction, pest detection, and cloud marketing collaborating with Machine Learning, Deep Learning, and image processing concepts. The main goal of the proposed solution is to control excess and offer a successful solution to the problems that arise in crop cultivation. The research further produced results such as choosing the best crop for the location, predicting future prices, recognizing agricultural diseases throughout the growing season, and stock forecasting through cloud market.
URI: http://rda.sliit.lk/handle/123456789/2980
ISBN: 978-1-6654-2168-3
Appears in Collections:Department of Information Technology
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology



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