Alberto Maria Falletta
Land Cover and Crop Type Classification using Machine Learning Techniques on Satellite Multispectral Data.
Rel. Fabrizio Lamberti, Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2021
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Abstract
As the global population grows in the near future, being expected to reach the number of 9.7 billion by 2050, agriculture will become more important than ever. Worldwide, in fact, the food production industry is already under severe pressures. On one hand the change in climatic patterns caused by global warming triggers mutations in ecosystems with the development of new plant diseases and stronger pests, with significant impacts on production. On the other the public opinion is day by day less in favor of unsustainable production methods as the food sector is responsible for intensive exploitation practices and about one third of global greenhouse gas emissions.
The industry will have to inevitably reinvent itself in order to increase its productive capacity and be able to meet the expected growing demand, lowering costs and reducing environmental impacts
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