IEEE

Comparative Performance of ANN Predicting Soybean Yields from NDVI: Execution Time and CPU Usage in C and Python

Abstract: Artificial Neural Networks (ANNs) are a widely used and powerful tool for modeling and predicting various processes across society, industry, and nature. In recent decades, ANNs have found ...
SciELO

Evaluation of OLI Landsat-8 images based on spectral indices in detecting areas affected by mining tailings mud: a case study of the Brumadinho dam rupture, Brazil

The socio-environmental impacts caused by the collapse of a mining dam can be irreversible. In Brazil, the dam collapse at the Córrego do Feijão Mine was considered one of the worst disasters in the ...
IEEE

A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery

Abstract: This study aimed to develop a new method for combining Sentinel-2 and PlanetScope (PS) imagery. The normalized difference vegetation indices (NDVI) data were retrieved from the Earth ...
SciELO

Classifiers based on artificial intelligence in the prediction of recently planted coffee cultivars using a Remotely Piloted Aircraft System

The classification and prediction methods through artificial intelligence algorithms are applied in different sectors to assist and promote intelligent decision-making. In this sense, due to the great ...
GitHub

NDVI computation fails #17

{ "process_graph": { "loadco1": { "process_id": "load_collection", "arguments": { "id": "SENTINEL2_L2A", "spatial_extent": { "west": 7.6092989782618545, "east": 7. ...
InfoQ

Microsoft Open-Sources Agricultural AI Toolkit FarmVibes.AI

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...