A5038701768- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Soil Moisture and Remote Sensing
- Mineral Processing and Grinding
- Soil Carbon and Nitrogen Dynamics
- Soil and Unsaturated Flow
- Sugarcane Cultivation and Processing
- Genetics and Plant Breeding
Universidade Estadual de Campinas (UNICAMP)
2021-2024
Abstract Detailed mapping of soil attributes is often not viable due to the high cost wet‐chemical laboratory analysis, which requires a large number samples. Thus, we evaluated whether prediction SOC contents through field‐specific diffuse reflectance spectroscopy (DRS) can increase amount samples available data interpolation. For such, tested performance partial least squares regression (PLSR), random forest (RF) and gradient boosting tree (GBT) algorithms model predict SOC. The...
The detection of spatial variability in field trials has great potential for accelerating plant breeding progress due to the possibility better controlling non-genetic variation. Therefore, we aimed evaluate a digital soil mapping approach and high-density sampling procedure identifying adjusting dependence early sugarcane stage. Two experiments were conducted regions with different classifications. High-density physical chemical properties was performed regular grid investigate structure...