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Published Paper Details:
Enhancing Farm Decision Support System using Random Forest
Authors
Narmatha. R,Dr.R. Vadivel
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Keywords
Precision Agriculture, Farm Decision Support System, Machine Learning, Random Forest Algorithm, Crop Recommendation, Yield Prediction, Fertilizer Optimization, Profit Estimation, Sustainable Agriculture, Data-Driven Farming
Abstract
The agricultural productivity is highly dependent on the climate variability, soil conditions and the management of the resources. Application of conventional decision making has led to the wrong choice of crops, poor yield forecasting and high risk of financial losses among the farmers. To solve these dilemmas, the proposed paper introduces a smart Farm Decision Support System (FDSS) that has been modeled based on the machine learning algorithm, the random forest algorithm. The suggested model is a multi-dimensional analytics system that analyzes farm data such as the soil characteristics, rain distributions, temperature fluctuations, seasonal shifts, the use of fertilizers and past records of crop yield. The classification and regression tasks are performed with the help of the Random Forest algorithm to suggest appropriate crops, predict the performance of yield, predict the amount of fertilizer required, and recommend the profit potential. Because of an ensemble learning, Random Forest improves the predictive accuracy, reduces overfitting, and increases the robustness of the model in different environmental conditions. An easy-to-use dashboard system allows the farmer and the agricultural officers to enter the parameters of the fields and get real-time and data-driven recommendations. The effectiveness of experimentation proves the better accuracy of predictions and more reliable decisions, in comparison to traditional approaches. The proposed system helps in precision agriculture by ensuring that resources are utilized in the most efficient way, less risk is taken, and sustainable farming methods are ensured using artificial intelligence-based analytics.
IJCRT's Publication Details
Unique Identification Number - IJCRT2602623
Paper ID - 301993
Author type - Indian Author
Page Number(s) - f321-f329
Pubished in - Volume 14 | Issue 2 | February 2026
DOI (Digital Object Identifier) - https://doi.org/10.56975/ijcrt.v14i2.301993
No Of Downloads - 22
Author Country - India, -, -, -, -, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2602623
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Narmatha. R,Dr.R. Vadivel, "Enhancing Farm Decision Support System using Random Forest", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 2, pp.f321-f329, February 2026, Available at :http://www.ijcrt.org/papers/IJCRT2602623.pdf
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