Abstract
Precision agriculture (PA) is an approach that uses information technology (IT) to ensure agricultural production and increases profitability. The Internet of Things (IoT) has important applications and the potential to be used in agriculture. For instance, it can manage soil, water, and weather information for the farmers. Moreover, it can be used to increase the productivity of crops, farmers looking for real-time data, and strive to ensure enough agricultural inputs to meet the crop requirements while taking advantage of the data already present on the farm. The proposed study will enable farmers to obtain necessary information about their land and, hence, decide how to manage the limited water resources, soil nutrients, and weather forecasting on their farms. Artificial intelligence and machine learning techniques will be used to learn from the historical data and show any pattern that might increase the farm’s efficiency and productivity. To ensure the benefit of smart farming, it is of utmost importance to commit field-specific research, demonstrate trials, and bring in governmental policies.
The study refers to the challenges of using IoT in smart farms, such as strong internet connection without interruption and provide fast transmission speeds. However, Uganda has already taken advantage of IoT technology, applied it widely, and has rapidly strengthened the capability. This system presents obvious benefits to agriculture and can reduce costs and increase the yield up to 50% because Smart Farms is the leading solution for increasing agricultural production.
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Dayoub, M., Nakiyemba, A., Plosila, J. (2021). Applications of Internet of Things (IoT) in Agriculture - The Potential and Challenges in Smart Farm in Uganda. In: Hassanien, A.E., et al. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). AICV 2021. Advances in Intelligent Systems and Computing, vol 1377. Springer, Cham. https://doi.org/10.1007/978-3-030-76346-6_13
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