SMART-AG : A Precision Agriculture AI-Powered Edge Computing System
| dc.contributor.author | Totit Kabuya Bushenyula | |
| dc.date.accessioned | 2025-06-12T11:15:33Z | |
| dc.date.available | 2025-06-12T11:15:33Z | |
| dc.date.issued | 2025-05-06 | |
| dc.description | Undergraduate research | |
| dc.description.abstract | Food insecurity is a critical issue in Africa, with over 296 million people affected by hunger. Despite efforts to increase food production, food loss remains a major contributor to this crisis, particularly in low-income countries where inefficiencies in farming and post-harvest handling are common. While 42% of Africa's workforce is employed in agriculture, there is a low adoption of modern agricultural technologies, primarily due to lack of internet access, technical skills, and high costs. This results in many farmers continuing to rely on traditional methods, which limits their productivity and exacerbates food insecurity. Existing solutions to improve farming practices are often too complex or require constant internet access, leaving many farmers unable to benefit from them. Therefore, a practical, affordable, and internet-independent solution is needed to help farmers increase yields and reduce food losses. This project proposes SMART-AG, an AI-powered edge computing system that provides actionable farming advice via SMS without requiring internet access. SMART-AG aims to empower farmers with insights on soil health, crop selection, and nutrient management, improving productivity and contributing to food security in Africa. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12311/2701 | |
| dc.language.iso | en | |
| dc.publisher | Uganda Christian University | |
| dc.title | SMART-AG : A Precision Agriculture AI-Powered Edge Computing System | |
| dc.type | Thesis |