Impact of Historical Weather Data on Crop Selection and Fertilizer Recommendation using Machine Learning Stacking Approach: Indian Cities

Kannappan Sankar, Vikraman (2024) Impact of Historical Weather Data on Crop Selection and Fertilizer Recommendation using Machine Learning Stacking Approach: Indian Cities. Masters thesis, Dublin, National College of Ireland.

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Abstract

The rise in the global population has increased the demand for the food production, this possesses a big challenge to the agriculture sector. Traditional farming methods are not being sufficient due to the unpredictable weather patterns and the environmental changes. Farmers due to the drastic environmental condition and weather changes, they choose wrong crop and fertilizer for cultivation which will significantly have negative impact on the crop productivity. This obstacle can be overcome with a data-driven approach, in this study we will be leveraging the historical weather data to create a recommendation system using machine learning stacking technique. Using stacking technique will enhance the performance of the model by integration of multiple model such as random forest classifier, decision tree classifier, K-nearest neighbors and MLP classifier. This study also compares the performance of the standalone and the stacking model with the evaluation metrics of Accuracy, Precision, Recall and F1 Score.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Basilio, Jorge UNSPECIFIED
Uncontrolled Keywords:	Stacking Technique; Weather Data; Crop Recommendation; Fertilizer Recommendation; Machine Learning
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Agriculture Industry Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	20 Aug 2025 09:18
Last Modified:	20 Aug 2025 09:18
URI:	https://norma.ncirl.ie/id/eprint/8578

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