Internet of Things and Analysis of Data in Agriculture

Internet of things (IOT) is taking over the world and is rapidly modernizing and transforming the world. Dominant parts of India are dependent on agriculture as occupation and with current farming practices, it is not possible to meet the farming needs. This paper focuses on how IOT and big data is transforming agriculture. It aims to harness the potential of IOT and big data technologies to upgrade agricultural practices. The sensors gather information about the various parameters such as weather conditions, moisture present in the soil, humidity and other factors in real world environment. The results thus obtained are passed through the various tools used in analytics to achieve better understanding of the various patterns for outburst of diseases, amount of water to be used and increase in the yield of crop. Farmers can utilize this data to improve irrigation, fertilization, resulting in improved crop yields and less resource usage.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/icmnwc63764.2024.10872013
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.60
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Internet of Things and Analysis of Data in Agriculture

Neeru Chauhan
1 citations
Smart Agriculture and AI
0.60
article

Internet of Things and Analysis of Data in Agriculture

Neeru Chauhan
article en
1 citations

Abstract

Internet of things (IOT) is taking over the world and is rapidly modernizing and transforming the world. Dominant parts of India are dependent on agriculture as occupation and with current farming practices, it is not possible to meet the farming needs. This paper focuses on how IOT and big data is transforming agriculture. It aims to harness the potential of IOT and big data technologies to upgrade agricultural practices. The sensors gather information about the various parameters such as weather conditions, moisture present in the soil, humidity and other factors in real world environment. The results thus obtained are passed through the various tools used in analytics to achieve better understanding of the various patterns for outburst of diseases, amount of water to be used and increase in the yield of crop. Farmers can utilize this data to improve irrigation, fertilization, resulting in improved crop yields and less resource usage.

Chandigarh University (IN)
Zero hunger
Openalex Percentile: Top 20%
Smart Agriculture and AI
0.60
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