Modules


  • Data Preprocessing: After collecting datasets from various resources, preprocessing is necessary before model training. This involves stages such as reading the dataset, data cleaning (removing redundant attributes and handling missing values).
  • Machine Learning Algorithm for Prediction: Utilizes predictive algorithms to estimate likely outcomes based on trained data. Supervised machine learning algorithms, including classification and regression, are employed.
  • Crop Yield Suggestion: Utilizes SVM algorithm.
  • Crop Recommendation: Employs Decision tree algorithm.
  • Fertilizer Recommendation: Utilizes Logistic Regression algorithm.

INTERFACE

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Login Interface
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Crop yield Suggestion
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Result for Crop Yield Suggestion
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Crop Recommendation System
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Result for Crop Recommendation
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Fertilizer recommendation

Our Services


Crop Yield Suggestion

Forecasting crop yields based on historical data, weather patterns, and soil conditions to assist farmers in planning and decision-making.

Customized Crop Recommendations

Providing tailored crop recommendations considering soil quality, climate, and market demand, ensuring optimal crop selection for each farm.

Data-Driven Fertilizer Optimization

Offering personalized fertilizer recommendations based on soil nutrient analysis and crop requirements, enhancing crop growth and sustainability.

Farmer Empowerment

Empowering farmers with access to cutting-edge technologies and expert insights to optimize agricultural practices, improve productivity, and enhance their livelihoods.

Contact us


Contact Info

SR UNIVERSITY,ANANTHASAGAR
India, 506001

2003a52127@sru.edu.in

+91 7794819038

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