The researcher integrates cutting-edge technologies like machine learning and remote sensing into advancing agricultural productivity, focusing on optimizing oil palm production and cocoa beans. Through data analysis of cocoa soils and beans in specific regions, they explore the health status of cocoa plants. Their work employs multispectral/hyperspectral imagery to assess remote ecosystems for conservation efforts. The researcher also examines household attitudes toward forest resources for sustainable development in developing contexts, using data on white-thighed colobus monkeys as a case study. Through these integrated approaches, they aim to enhance agricultural sustainability while studying wildlife behavior linked to food production.
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