Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3344
Title: GreenEye: Smart Consulting System for Domestic Farmers
Authors: Mendis, O
Perera, A
Ranasinghe, S
Chandrasiri, S
Keywords: GreenEye
Smart Consulting System
Domestic Farmers
Issue Date: 9-Dec-2022
Publisher: IEEE
Citation: O. Mendis, A. Perera, S. Ranasinghe and S. Chandrasiri, "GreenEye: Smart Consulting System for Domestic Farmers," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 363-368, doi: 10.1109/ICAC57685.2022.10025193.
Series/Report no.: 2022 4th International Conference on Advancements in Computing (ICAC);
Abstract: Always it is challenging for typical domestic farmers to maintain a good homestead in today’s world and with the ever-growing economic concerns. To save time, money, and energy, they must keep up with the advancements of incorporating technology in their farming practices to ensure that their crops are up to standard and optimized for the maximum yield. Domestic farmers may grow crops for economic gain, pleasure, stress relief, decorative purposes, Etc. However, regardless of the purpose, everyone must be aware of good farming practices. No matter the intention, challenges, and outcomes, everyone engaged with plant growth is the same. In today’s highly advanced technological world, a lot of domestic farmers are using modern technology in their growing practices. Experimenting with intelligent growth mechanisms and intend to use modern technologies to provide advice that is useful for all gardeners who prefer home gardening. Additionally, the most crucial aspects of plant care are recognizing the ideal plants for each season, identifying stress factors, identifying diseases, identifying soil moisture levels, and predicting the harvest based on the current environmental conditions. Green Eye mobile application aims to provide a comprehensive solution to technologized domestic farmers using image processing technologies for their most common concerns.
URI: https://rda.sliit.lk/handle/123456789/3344
ISSN: 979-8-3503-9809-0
Appears in Collections:4th International Conference on Advancements in Computing (ICAC) | 2022
Department of Information Technology
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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