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A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
These weather predictions are then used to forecast the possibilities of diseases for the primary crops list by utilizing the support vector classifier.
A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors
We collected the dataset from victims and non-victims of cyberattacks based on socio-demographic features.
Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach
Bangladesh is predominantly an agricultural country, where the agrarian sector plays an essential role in accelerating economic growth and enabling the food security of the people.
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