Abstract
Precision agriculture is a modern farming practice that makes production more efficient. It can help determine everything from what factors may be stressing a crop at a specific point in time to estimating the amount of moisture in the soil. One important aspect in precision agriculture is precision irrigation. This paper provides the design and implementation of a Smart Precision Irrigation and Monitoring System which uses Microsoft Azure along with Internet of Things technologies to provide for automatic precision irrigation. Sensors are used to collect water level, temperature, humidity and soil moisture data and Azure Cloud services are utilized to perform real-time analytics on the data obtained. A Web App and a Mobile App have been implemented for the farmer to manage the system, control the automatic and manual irrigation processes and receive important notifications. Azure Machine Learning has also been used to generate the chance of rain, hence facilitating the decision-making process of the farmer.
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Patroo, L., Thacooree, K., Mungur, A. (2019). A Smart Precision Irrigation and Monitoring System. In: Fleming, P., Lacquet, B., Sanei, S., Deb, K., Jakobsson, A. (eds) Smart and Sustainable Engineering for Next Generation Applications. ELECOM 2018. Lecture Notes in Electrical Engineering, vol 561. Springer, Cham. https://doi.org/10.1007/978-3-030-18240-3_10
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DOI: https://doi.org/10.1007/978-3-030-18240-3_10
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