Cuna Inácio Samuel

Presentation

I am an Agricultural Researcher, Agronomist and PhD candidate in Agricultural Engineering, with more than 14 years of experience in agricultural research, extension, teaching and innovation across tropical farming systems in Mozambique and Brazil.

My research focuses on the integration of remote sensing, GIS, unmanned aerial systems (UAS), machine learning and spatial modelling to support Climate-Smart Agriculture, precision agriculture and sustainable land management.

I have worked on agricultural experimentation, crop monitoring, irrigation, agricultural mechanization, land suitability assessment and climate risk analysis. My recent research explores multi-scale artificial intelligence models to improve agricultural productivity, climate resilience and evidence-based decision-making for coffee production systems under climate change.

I am particularly interested in connecting geospatial technologies, systems modelling and field observations to support resilient agricultural systems and sustainable rural development.

What I can bring to this network ?

I can contribute with expertise in remote sensing, GIS, UAV applications, machine learning and spatial modelling for agricultural systems. My experience spans agricultural experimentation, climate risk assessment, land suitability modelling, precision agriculture and Climate-Smart Agriculture in tropical environments. I am also interested in strengthening South–South collaboration between Africa and Latin America through applied research and data-driven agricultural solutions.

What I seek in this network ?

I seek scientific collaboration on farming systems modelling, Climate-Smart Agriculture and integrated assessment of agricultural systems. I am interested in exchanging methodologies, developing collaborative research projects, contributing to international initiatives and translating scientific knowledge into practical solutions for sustainable and resilient agriculture.