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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Interactive digital twin for smart agriculture using data-driven simulation

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  • Interactive digital twin for smart agriculture using data-driven simulation

Chitoor Venkat Rao Ajay Kumar *, Palle Sai Sruthi, Rangu Varshini and Kannekanti Sai Siddharth

Department Of CSE (Artificial Intelligent and Machine Learning )of ACE Engineering College Hyderabad, India.  

Review Article

World Journal of Advanced Research and Reviews, 2026, 30(01), 1103-1110

Article DOI: 10.30574/wjarr.2026.30.1.0834

DOI url: https://doi.org/10.30574/wjarr.2026.30.1.0834

Received on 27 February 2026; revised on 06 April 2026; accepted on 08 April 2026

This project is about creating a twin for farming. It makes a copy of a farm so farmers have another farm to work with. The system is really easy to use. Farmers can try out things on this copy farm. For example they can see what crops to plant and how water to use. They can also check the weather forecast. This way they can see how the weather will affect their farm. The digital twin for farming checks the soil to see if it is healthy. It looks for bugs and diseases that might hurt the crops. The digital twin for farming can even guess how much the crops will be worth when sold. It does all this using rules. So farmers can understand how it works. The digital twin for farming is like a test farm. Farmers can try things out on it before doing them on their farm. This helps farmers make choices. It reduces the risk of something going wrong. The digital twin for farming is a tool. Farmers can use it to improve their farm. Farmers can use the twin for farming to make their farm better. The digital twin for farming helps farmers who want to improve their farm. That is what the digital twin for farming is. Farmers can use twin for farming. Digital twin for farming is, for farmers. Digital twin helps farmers.

Digital Twin; Smart Agriculture; Crop Yield Prediction; Pest & Disease Risk; Decision Support System 

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2026-0834.pdf

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Chitoor Venkat Rao Ajay Kumar, Palle Sai Sruthi, Rangu Varshini and Kannekanti Sai Siddharth. Interactive digital twin for smart agriculture using data-driven simulation. World Journal of Advanced Research and Reviews, 2026, 30(01), 1103-1110. Article DOI: https://doi.org/10.30574/wjarr.2026.30.1.0834.

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