TITLE:
Geomorphological, Biophysical, and Photogrammetric Analysis of Agroforestry Systems Associated with Cacao (Theobroma cacao L.) Cultivation in the Dominican Republic
AUTHORS:
Ender Iñiguez Freites, Ezequiel Echevarría Zamora, Agripina Ramírez Sánchez
KEYWORDS:
Cacao, Agroforestry, NDVI, Photogrammetry, Soil Composition
JOURNAL NAME:
Open Access Library Journal,
Vol.12 No.7,
July
18,
2025
ABSTRACT: This study takes a close look at the intricate connections between the shape of the land, ecological factors, and what we can see from above in cacao agroforestry systems in the Dominican Republic. We’re trying to figure out how the physical landscape influences where cacao grows and how much of it is produced. The research also delves into how things like soil composition, water availability, and climate patterns affect cacao productivity. To get a good handle on plant health, we use drones and a special measurement called the Normalized Difference Vegetation Index (NDVI). This helps us spot areas that might need some extra attention or changes in how they’re managed. We’ve also put together a database that combines location information with details about cacao production. To help local farmers make the most of this location-based data, we’ve been providing training so they can use these tools effectively in their daily work. Ultimately, this research highlights the significant potential of using advanced tools to improve farming methods, support sustainability, and enable well-informed decision-making within the Dominican Republic’s cacao industry. It lays the groundwork for developing strategies and policies that can help cacao production systems adapt and thrive, even when faced with environmental challenges.