Smart Grow - The Next Frontier in Precision Farming
Uttara Gogate,
Swamik Bagwe,
Atharva Ingle and
Kashish Shinde
International Journal of Scientific Research in Science and Technology, 2026, vol. 13, issue 2, 1013-1024
Abstract:
Precise farming helps to reduce manual labor and increase productivity. Farmers have been facing various challenges in these recent times, this includes crop failure due to less rainfall, infertility of soil and so on. Due to the changes taking place in the environment the proposed work helps to identify how to manage crops and harvest in a smart way. It guides an individual for smart farming. The aim of this work is to help an individual cultivate crops efficiently and hence achieve high productivity at low cost. It also helps to predict the total cost needed for cultivation. This would help an individual to pre-plan the activities before cultivation resulting in an integrated solution in farming as if for indoor farming, the infusion of Arduino technology and an array of specialized soil detection and nutrient sensors brings forth an entirely new dimension in modern agriculture.
Keywords: precision farming; Convolutional Neural Network (CNN); Plant Disease Prediction; Internet of things (IOT); Machine learning (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v13:y2026:i2:id:1553
DOI: 10.32628/IJSRST26133109
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