PARAPHRASE TO AVOID PLAGIARISM
HRCOS82 Project 40: adoption of smart farming technologies by South African farmers
ASSIGNMENT 1
**Title 1:**
**Enhancing Maize Yield Prediction in South Africa through Machine Learning and IoT Sensors**
Mkhize, N., & Mdlalose, M. (2022)
**Abstract:**
In this study, the use of machine learning and IoT sensors in predicting maize yields in South Africa was explored. Data from weather, soil moisture, and crop growth were integrated by the authors to develop a forecasting model.