Prof. Dr. Maximo Larry Lopez Caceres is a Professor in the Department of Forestry at the Faculty of Agriculture of Yamagata University. He graduated with a Bachelor's degree in Meteorology from the Faculty of Science, Universidad Nacional Agraria La Molina, Lima, Peru. From 1995 to 2003, with the sponsorship of MEXT (Ministry of Education and Sports of Japan), he joined the MSc and Ph.D. Program at the Graduate School of Environmental Sciences, Hokkaido University. He served as a Post-doc at the Institute of Low Temperature, Hokkaido University (2003 to 2007), and as a Project Lecturer at the United Graduate School of Agricultural Sciences, Iwate University (2008 to 2011). His research interest is in forest carbon, water, and nutrient cycles and, in recent years, the use of Deep Learning to design more efficient and precise models to monitor forest ecosystems using UAV-acquired images.
Research Keywords & Expertise
Forest nitrogen and wa...
Use isotopes as an int...
Long-term effects (or ...
Short Biography
Prof. Dr. Maximo Larry Lopez Caceres is a Professor in the Department of Forestry at the Faculty of Agriculture of Yamagata University. He graduated with a Bachelor's degree in Meteorology from the Faculty of Science, Universidad Nacional Agraria La Molina, Lima, Peru. From 1995 to 2003, with the sponsorship of MEXT (Ministry of Education and Sports of Japan), he joined the MSc and Ph.D. Program at the Graduate School of Environmental Sciences, Hokkaido University. He served as a Post-doc at the Institute of Low Temperature, Hokkaido University (2003 to 2007), and as a Project Lecturer at the United Graduate School of Agricultural Sciences, Iwate University (2008 to 2011). His research interest is in forest carbon, water, and nutrient cycles and, in recent years, the use of Deep Learning to design more efficient and precise models to monitor forest ecosystems using UAV-acquired images.
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