Iot Based predication Analysis System for Precision Agriculture

Authors

  • Deshkar T Department of Computer Science and Engineering, Jhulelal Institute of Technology, Nagpur, Maharashtra, India
  • Ajani S Department of Computer Science and Engineering, Jhulelal Institute of Technology, Nagpur, Maharashtra, India

Keywords:

Precision agriculture, optimal usage, agro advisorY, quality in agriculture

Abstract

In India sustainable agriculture development is essential to meet food demands, economic growth and poverty reduction. Climate change having adverse effect on agriculture and traditional practices followed are planting, fertilizing and harvesting against the predetermined schedule. Precision agriculture can be used to mitigate the climate change. The work objective is optimal usage of water in irrigation, proper nutrient management to plant and avoid crop losses due to diseases and pests with proper scheduling of sprays. In this context, we have proposed an agro advisory system for the pomegranate field. Wireless sensor network is deployed on field and will continuously monitoring real time environmental, soil, hydrological and crop specific parameters. Those are important for growth, productivity and quality in agriculture. An agro advisory will be disseminated to the farmers according to real time field conditions . The experimental result analysis of proposed system shows improvement over traditional followed methods.

References

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Published

2025-11-25

How to Cite

[1]
T. Deshkar and S. Ajani, “Iot Based predication Analysis System for Precision Agriculture”, Int. J. Comp. Sci. Eng., vol. 7, no. 12, pp. 125–128, Nov. 2025.

Issue

Vol. 7 No. 12 (2019): IJCSE Special Issue May Edition

Section

Survey Article

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