Conducted in Musanze District on the farmlands of the Twizamure Cyuve cooperative, the study utilized technology to monitor climate and soil conditions. Results showed a productivity rate exceeding 75%.
Dr. Martin Kuradusenge, a lecturer at UR, College of Science and Technology and the principal investigator (PI) of this research, explained that the research provides farmers with valuable insights, enabling them to predict crop yields more effectively.
'We're presenting the results of three years of research on agricultural forecasting using technology known as Internet of Things (IoT) that tracks climate conditions, such as rainfall, temperature, humidity, and soil moisture' he said.
'This technology works both in the air and the soil, offering farmers a clearer picture of what to expect in the upcoming growing season according to the growth stage of the crop. With this information, farmers can take proactive measures, especially when yield predictions are low and they need support from local authorities.'
Dr. Kuradusenge emphasized that while forecasting cannot be entirely precise due to its predictive nature, a success rate of 75% or higher is considered an achievement.
He confirmed that the research has already produced yield predictions above 75%, and continuous improvements will be made to increase accuracy over time, with a target of 90% or higher.
Therese Uwamahoro, President of the Twizamure Cyuve Cooperative, highlighted the practical benefits of the research.
'This research helps us make informed decisions on what crops to plant, based on the data we gather about our fields. It enables us to avoid losses and optimize our yields,' Uwamahoro said.
'Farming is not just a livelihood; it's an integral part of national growth, and this partnership with UR is helping us understand seasonal forecasts for both dry and rainy periods,' she added.
Charlene Umuhoza, a student at UR, expressed how the research offered valuable knowledge that will benefit farmers.
'Through this research, I've learned how agricultural technology will help solve many of the challenges farmers face. We can apply this knowledge to improve productivity and meet market demands,' she noted.
SMART-CYPS (Smart Crop Yield Prediction System) is the title given to the technology used in this study involving IoT sensors placed in fields to collect data on climate and soil conditions.
This data provides farmers with comprehensive insights, enabling them to optimize farming practices based on their specific needs.
The outcomes of this research were also published in the international scientific journals and can be accessed using the following links: https://www.mdpi.com/2077-0472/13/1/225 and https://link.springer.com/article/10.1007/s43926-024-00079-0
IGIHE
Source : https://en.igihe.com/news/article/ur-releases-findings-of-three-year-crop-yield-forecasting-research
