A Comprehensive Study on Supply and Disappearance of Food Grains in USA

Kapoor, Muskaan (2023) A Comprehensive Study on Supply and Disappearance of Food Grains in USA. Masters thesis, Dublin, National College of Ireland.

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Abstract

Agriculture stands as a pivotal sector in the global economy, serving as the primary source of sustenance for populations across the world, as a fundamental component of human survival, the availability and distribution of diverse food products hold paramount importance. This research is focused on analyzing the dynamics of food grain supply and its utilization within the United States, a nation recognized as a key player in the global agricultural market. The study is crucial for effectively managing the balance between the supply and demand of food grains such as Corn, Barley, Sorghum, and Oats, a task of critical importance for agricultural stakeholders, policymakers, and economic strategists. The research employs advanced machine learning methodologies, encompassing regression techniques such as Gradient Boosting, Bagging, Random Forest, AdaBoost, and K-Neighbours Regressor that delve into the patterns and trends of food grain demand. The findings from this study are anticipated to provide strategic insights into future demands for food grains, thereby facilitating informed decisions to ensure adequate supply, averting potential deficits or excesses in the market. Machine learning models can enhance supply chain visibility, improve pricing models to benefit both producers and consumers, develop predictive food waste models to curb losses, and aid breeding techniques for climate resilience.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Menghwar, Teerath Kumar UNSPECIFIED
Uncontrolled Keywords:	food grains; supply; disappearance; machine learning; regression models
Subjects:	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 H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Food 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:	14 May 2025 10:56
Last Modified:	14 May 2025 10:56
URI:	https://norma.ncirl.ie/id/eprint/7543

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