A Comprehensive Study with Challenges of Internet of Things (IoT) based Model for Smart Farming

Автор: Sonu Rana, Jyoti Verma, A.K. Gautam

Журнал: International Journal of Education and Management Engineering @ijeme

Статья в выпуске: 4 vol.12, 2022 года.

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In most developing countries, the majority of the population heavily rely on agriculture for their livelihood. The yield of agriculture is heavily dependent on uncertain weather conditions like monsoon, soil fertility, availability of irrigation facilities and fertilizers as well as support from Govt. The main challenge in this study if the agricultural yield which is quite less compared to the effort put in due to inefficient agricultural implements and lack of knowledge on the other hand. It is therefore essential for the farmers to improve their harvest yield by acquisition of related data such as soil condition, temperature, humidity, availability of irrigation facilities, availability of manure etc and adopt smart farming techniques using modern agricultural equipment. A trend has started amongst the farmers to shift from traditional conventional farming to smart farming using the Internet of Things (IoT) technology, which can help improve yield with reduced effort at economic cost. The main focus of this paper is to present work related to these technologies in the agriculture field. This also presented their challenges & benefits related to smart farming. For improving the system, IoT will interact with other useful systems like Wireless Sensor Networks. It can help for understanding the job of data by using IoT and correspondence advancements in horticulture division. This will help to motivate and educate the unskilled farmers to comprehend the best bits of knowledge given by the huge information investigation utilizing smart technology and also provide data analysis in terms of temperature, humidity that can help farmers to reduce computation time. It will also help to identify water utilization in prior.


Agriculture Technology, Data Analytics, IoT, Smart Farming, Smart Agriculture, Smart Technology, Wireless Communication etc

Короткий адрес: https://sciup.org/15018485

IDR: 15018485   |   DOI: 10.5815/ijeme.2022.04.05

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