WSN, APSim, and Communication Model-Based Irrigation Optimization for Horticulture Crops in Real Time

WSN, APSim, and Communication Model-Based Irrigation Optimization for Horticulture Crops in Real Time

Balakrishna K.
DOI: 10.4018/978-1-7998-1722-2.ch015
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Abstract

The use of wireless sensor networks, the internet of things, and advanced technologies lead to new direction of research in the agriculture domain called prescriptive agriculture. Prescriptive agriculture is the enforcement of precision agriculture, which is observing, measuring, and responding to inter and intra field variability of farm field. In this chapter, the advent of wireless sensor network, APSim, and communication model spurred a new direction in the farming domain at optimizing irrigation. Sensors are programmed to collect the datasets of climatic parameters such as relative humidity and temperature, where the datasets were forwarded to the server through a GSM module. Datasets collected were analyzed through statistical software for grown crops by considering inter and intra farm field conditions. Finally, information on irrigation is decimated through an algorithm designed by way2SMS and WebHost server.
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Literature Survey

To analyze the work of state-of-art, here discussed relevant work done so far in the improvement of the irrigation system for the selected horticulture crops using advanced technologies.

Balakrishna K (2020) worked on optimizing irrigation for horticulture crops like Okra, Tomato, Bell pepper, Cucumber, and Cabbage. The author programmed a WSN device to gather the temperature and relative humidity of the rancher field for a determinate interval of 6 hours for nearly 50 days from 50 devices, which are deployed within a distance of 300-400 meters. Statistical based software like APSim model designed to optimize the irrigation for the selected crops considering the soil inter and intra variability of the farm fields. The mathematical simulated model shows that around 80 – 90% of water can be saved compared to drip irrigation.

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