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September 10, 2025European Economic Letters (EEL)

Intelligent Data Mining Framework for Precision Agriculture and Crop Yield Forecasting

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Authors

APAshwini K. PandeyMCMs. Tanishka Gupta Ms. Tanya ChatwalMKManav Kapoor

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Overview

An intelligent data mining framework improves crop yield forecasting and decision-making for farmers, suggesting its potential in precision agriculture.

Key Points

  • The proposed framework improves crop yield forecasting and cost-benefit analysis for farmers.
  • Experimental results indicate enhanced accuracy in predicting yield and market prices across multiple crops.
  • By integrating techniques like classification and clustering, the framework supports optimal resource management.
  • The findings suggest a significant role for data-driven agriculture in promoting sustainability in farming.

Cite This Study

Pandey et al. (2025) studied this question.

synapsesocial.com/papers/68c1a5eb54b1d3bfb60df458https://doi.org/10.52783/eel.v15i3.3497
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Crop Yield Prediction and Classification using the Agriculture Resources and Data Mining Techniques2024
  2. 2Data-Driven Framework for Crop Categorization using Random Forest-Based Approach for Precision Farming Optimization2024 · 5 citations
  3. 3Data Science-Driven Agricultural Yield Prediction System2026
  4. 4IntelliCrop: Optimizing Crop Production with Smart Agriculture2024
  5. 5Propose and implement a Rule-Based System to Predict Crop Yield Production2024