International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
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Volume 7 Issue 3
May-June 2025

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Smart Agriculture: Harnessing IoT and Machine Learning

Author(s) Ms. Harini B G, Prof. Dr. Rangaswamy Y
Country India
Abstract Agriculture involves the scientific and artistic cultivation of plant and animal life. In India farming is ranked second in the world and occupies 60.45% of its land area. Agriculture and agro-industry things are the main support of the Indian economy. Nitrogen, phosphorous, potassium, crop rotation, soil moisture, atmospheric and surface temperature, precipitation and similar factors efficiently influence cultivation present research in this field features a model incorporated with ML algorithms (Random Forest, Decision Tree and Artificial Neural Network) to find the best crop. This paper presents an enhanced model using deep learning techniques and besides predicting the crop, it also provides clear information on the required amounts of soil ingredients and their separate costs. The model ensures better accuracy than existing one it analyzes the input data and helps farmers predict a crop, which results in gaining profits. The prediction of a proper yield is based on the climatic and soil conditions of the land. The purpose is to propose a python – based system that smartly uses strategies to predict the most productive yield in the given conditions at less cost. This paper executes SVM as a Machine learning algorithm, while LSTM and RNN are adopted as deep learning algorithms.
Keywords Agriculture, Crop Prediction, Machine Learning, Deep Learning, SVM, LSTM, RNN.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-11
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E-ISSN 2582-2160
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