SciELO

RESEARCH ON REMOTE SENSING CROP CLASSIFICATION BASED ON IMPROVED U-NET

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...
SciELO

High-throughput phenotyping by RGB and multispectral imaging analysis of genotypes in sweet corn

Sweet corn (Zea mays subsp. saccharata) produced in Brazil is commonly directed to industrial processing (Pereira Filho & Teixeira, 2016). Despite being the third-largest yellow corn producer in the ...
GitHub

Fractional Vegetation Cover (FVC) Remote Sensing Method from Carlson et al 1997 Python Package

This package provides a Python implementation of the Fractional Vegetation Cover (FVC) algorithm described by Carlson & Ripley (1997). It converts NDVI (Normalized Difference Vegetation Index) data to ...
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 ...
IEEE

Crops Classification Using Machine Learning And Google Earth Engine

Abstract: The primary objective of this study was to address the critical challenge of obtaining accurate information regarding the spatial distribution and classification of crops in agricultural ...
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. Erik Steiger discusses the operational pain ...