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Crop Imaging Articles & Analysis

7 articles found

How ZR3I Managed To Be The First Digital Agri SaaS Platform in the Arab World

How ZR3I Managed To Be The First Digital Agri SaaS Platform in the Arab World

The crop health can easily be estimated through image colors: Light/dark Green: healthy crops. ...

ByFarmonaut


Farmonaut For Crop Area and Yield Estimation

Farmonaut For Crop Area and Yield Estimation

Remote Sensing and GIS: Remote sensing helps to collect data through satellite that helps to estimate crop area. The satellite images used give accurate results for the crop area estimation. ...

ByFarmonaut


Evolution of satellite image data in agriculture

Evolution of satellite image data in agriculture

Mapping and monitoring of agricultural areas are an ideal application for satellite image data as big areas can be easily covered in a very cost-efficient way. ...

Bycloudeo


A Living Map of the World`s Food Supply

A Living Map of the World`s Food Supply

Today, we’re excited to announce Indigo’s acquisition of TellusLabs, a satellite imaging and artificial intelligence company based out of Somerville, Massachusetts. ...

ByIndigo Ag, Inc


PureVine: A Digital Representation of your Vines

PureVine: A Digital Representation of your Vines

PureVine takes advantage of the ultra high-resolution images we collect and applies this information to individual vines. Before final analysis, all soil and cover crop data are removed to ensure we are only measuring the canopy. ...

ByVineView


New Maps from Old Photos: Measuring Coastal Erosion

New Maps from Old Photos: Measuring Coastal Erosion

Combining points from numerous photos produces a 3D image, sometimes called a “point cloud.” By surveying some points with GPS or a Global Positioning System, the mapper can assign a geographic position to each point, making the 3D image a 3D map. ...

ByU.S. Geological Survey (USGS)


Estimating ground cover of field crops using medium-resolution multispectral satellite imagery

Estimating ground cover of field crops using medium-resolution multispectral satellite imagery

In this study, a procedure was developed to estimate GC of field crops from medium-resolution satellite image data in the red and near-infrared (NIR) spectral bands. In the procedure, GC is estimated from the ratio of the perpendicular vegetation index (PVI) value calculated for an image pixel to the PVI value corresponding to full vegetation ...

BySoil Science Society of America (SSSA)

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