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Pre-Columbian Soil Management, Settlement, And Land Use In Amazonia: Insights Using Micro-Regional Predictive Modelling In Gurupá, Brazil., Lauren Zacks
Electronic Theses and Dissertations
The results of a micro-regional predictive model of terra preta sites in the municipality of Gurupá are presented here. A Maximum Entropy approach was selected and modified to fit a presence-background model, rather than a presence-absence model typical of binary classifications. 13 known terra preta sites were used as input samples for the relative suitability model, with explanatory variables in the respective categories of topography, hydrology, soil type and vegetation index. A 30m spatial resolution DEM served as the basis for the former two categories, while additional TauDEM analysis was performed for the hydrology category. A Sentinel-2A mosaicked quarterly composite …
Developing Machine Learning Models For Selection Of Management Zones, Sravanthi Bachina
Developing Machine Learning Models For Selection Of Management Zones, Sravanthi Bachina
Electronic Theses and Dissertations
Soil sampling and analyses play a crucial role in optimizing nutrient management and enhancing crop productivity. However, collecting representative samples across diverse landscapes is challenging due to knowledge gaps about spatial variability of soil properties, large fields, multiple samples, and analysis costs. Collecting soil samples based on the management zones can help farmers gather precise information about soil properties with fewer samples. Recent developments in precision agriculture and machine learning. This study aimed to develop machine learning models that can learn, analyze, and refine landscape and soil properties data for automated selection of soil sampling zones and generating prediction maps. …