AI-Based Energy Demand Forecasting for a Smart Farm

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Authors: Dr. P NAGARAJ, Sahithi Kotra, Hannuma Sai V, Neha Samira, Vikas
Cited by: 0

Abstract

Modern farming is facing more problems mainly because resources are not used properly, energy costs keep increasing every year, and tools that help farmers plan ahead are still not available in many situations. This has become a serious concern. Because of this, managing farms has become more difficult than before, especially when decisions are made without proper or timely information, which often results in unnecessary energy usage. To deal with this issue, this study talks about the development of a Smart Farm Energy Forecasting System that combines energy estimation with irrigation-related guidance in a single setup.

Fields of Study & Subjects

Smart Agriculture and AI Energy Environment Agriculture Analysis Smart Grid Energy Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN