About
Contact & Profiles
A5045382312
Research Areas
- Botanical Research and Applications
- Land Use and Ecosystem Services
Universidade Federal Rural de Pernambuco
2024
Precision agriculture requires accurate methods for classifying crops and soil cover in agricultural production areas. The study aims to evaluate three machine learning-based classifiers identify intercropped forage cactus cultivation irrigated areas using Unmanned Aerial Vehicles (UAV). It conducted a comparative analysis between multispectral visible Red-Green-Blue (RGB) sampling, followed by the efficiency of Gaussian Mixture Model (GMM), K-Nearest Neighbors (KNN), Random Forest (RF)...
10.3390/agriengineering6010031
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AgriEngineering
2024-02-23
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