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Title: :  A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION
PaperId: :  26122
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26122
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
M RAM KUMARSiddharth Institute of Engineering and Technology
BHUMI REDDY BHUMIKASiddharth Institute of Engineering and Technology
ADUSUMILLI CHETAN CHOWDARYSiddharth Institute of Engineering and Technology
VATTURU MUNISURAJSiddharth Institute of Engineering and Technology
KAMPALLI SAI KRISHNASiddharth Institute of Engineering and Technology
MANI SANDHYA RANISiddharth Institute of Engineering and Technology

Abstract

Information Technology
Machine Learning, Prediction Models, Accurately, Application Design, Analyze, Decision Making
The Machine Learning-Based Crop Yield Prediction Model is an innovative application designed to assist farmers, agricultural experts, and policymakers by accurately predicting crop yields based on environmental and agricultural factors. This system utilizes machine learning models to analyze data such as soil properties, weather conditions, and farming practices, providing actionable insights for better decision-making. The model is trained using historical crop data in CSV format, which includes features such as temperature, rainfall, humidity, soil pH, and nutrient levels. It will give fertilizers based on crops and its features like temperature, humidity Preprocessing techniques are applied to clean and normalize the data, ensuring high-quality inputs for training. Algorithms such as Linear Regression, Random Forest, or Gradient Boosting are used to predict crop yield, offering reliable and accurate results. The existing system for analyzing crop productivity in Tamil Nadu considers key factors like rainfall, groundwater, cultivation area, and soil type to optimize the yield of crops such as rice, maize, ragi, sugarcane, and tapioca. Data from the past ten years is collected from various sources, including government websites, and transformed into a suitable format for analysis. The system uses K-Means clustering and classification algorithms such as fuzzy logic, KNN, and Modified KNN, with MKNN providing the best prediction results. Additionally, IoT devices like soil sensors, DHT11 sensors for humidity and temperature, and Arduino Uno with Atmega processors collect real-time atmospheric data. The Naïve Bayes algorithm achieves 97% accuracy, further enhanced using a boosting algorithm for improved performance. Regression techniques like ENet, Kernel Ridge, and Lasso are employed, with Stacking Regression for superior yield prediction.

Citations

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IJARIIE M RAM KUMAR, BHUMI REDDY BHUMIKA, ADUSUMILLI CHETAN CHOWDARY, VATTURU MUNISURAJ, KAMPALLI SAI KRISHNA, and MANI SANDHYA RANI. "A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 1358-1365
MLA M RAM KUMAR, BHUMI REDDY BHUMIKA, ADUSUMILLI CHETAN CHOWDARY, VATTURU MUNISURAJ, KAMPALLI SAI KRISHNA, and MANI SANDHYA RANI. "A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 1358-1365.
APA M RAM KUMAR, BHUMI REDDY BHUMIKA, ADUSUMILLI CHETAN CHOWDARY, VATTURU MUNISURAJ, KAMPALLI SAI KRISHNA, & MANI SANDHYA RANI. (2025). A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 1358-1365.
Chicago M RAM KUMAR, BHUMI REDDY BHUMIKA, ADUSUMILLI CHETAN CHOWDARY, VATTURU MUNISURAJ, KAMPALLI SAI KRISHNA, and MANI SANDHYA RANI. "A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 1358-1365.
Oxford M RAM KUMAR, BHUMI REDDY BHUMIKA, ADUSUMILLI CHETAN CHOWDARY, VATTURU MUNISURAJ, KAMPALLI SAI KRISHNA, and MANI SANDHYA RANI. 'A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 1358-1365. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_MACHINE_LEARNING_FRAMEWORK_FOR_PRECISION_CROP_YIELD_PREDICTION_AND_OPTIMIZATION_ijariie26122.pdf (Accessed : ).
Harvard M RAM KUMAR, BHUMI REDDY BHUMIKA, ADUSUMILLI CHETAN CHOWDARY, VATTURU MUNISURAJ, KAMPALLI SAI KRISHNA, and MANI SANDHYA RANI. (2025) 'A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 1358-1365IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_MACHINE_LEARNING_FRAMEWORK_FOR_PRECISION_CROP_YIELD_PREDICTION_AND_OPTIMIZATION_ijariie26122.pdf (Accessed : )
IEEE M RAM KUMAR, BHUMI REDDY BHUMIKA, ADUSUMILLI CHETAN CHOWDARY, VATTURU MUNISURAJ, KAMPALLI SAI KRISHNA, and MANI SANDHYA RANI, "A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 1358-1365, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_MACHINE_LEARNING_FRAMEWORK_FOR_PRECISION_CROP_YIELD_PREDICTION_AND_OPTIMIZATION_ijariie26122.pdf [Accessed : ].
Turabian M RAM KUMAR, BHUMI REDDY BHUMIKA, ADUSUMILLI CHETAN CHOWDARY, VATTURU MUNISURAJ, KAMPALLI SAI KRISHNA, and MANI SANDHYA RANI. "A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver M RAM KUMAR, BHUMI REDDY BHUMIKA, ADUSUMILLI CHETAN CHOWDARY, VATTURU MUNISURAJ, KAMPALLI SAI KRISHNA, and MANI SANDHYA RANI. A MACHINE LEARNING FRAMEWORK FOR PRECISION CROP YIELD PREDICTION AND OPTIMIZATION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 1358-1365. Available from: https://ijariie.com/AdminUploadPdf/A_MACHINE_LEARNING_FRAMEWORK_FOR_PRECISION_CROP_YIELD_PREDICTION_AND_OPTIMIZATION_ijariie26122.pdf
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