Vegetative Indices

AgVue Technologies' multispectral and hyperspectral images along advance analytic software calculates more than a dozen vegetative indices to accurately identify crop health, weeds and even different plant varieties. The most common indices are Normalized Difference Vegetative Index (NDVI), Green NDVI, Soil Adjusted Vegetative Index (SAVI), Green SAVI, Red Edge Normalized Difference Vegetation Index (RENDVI)Red Edge Normalized Difference Vegetation Index (RENDVI). By looking at multiple indices, AgVue can give more accurate data about crop health issues that might not show on a simple NDVI image.

AgVue uses calibrated multispectral and hyperspectral cameras, that are specially designed to capture accurate color band information that isn't possible with a low-cost cameras using a NIR filter. Not only are AgVue's cameras factory calibrated, they are also field-calibrated to account for varying sun intensity, time of day and cloud cover. Having calibrated data is extremely important to collect accurate vegetative indices that yield quantitative data about plant health. 

Canopy Cover and Biomass

AgVue can calculate canopy cover, density and biomass using specialized vegetative indices, such as Leaf Area Index (LAI) and Enhanced Vegetative Index (EVI). These indices along, with other custom agriculture tools, and 3D imaging can assist in determining forest health, crop health and estimating harvest yield.

Crop Counting

AgVue's  crop counting tool uses specialized analytics to accurately count crops for inventory control and valuation. 

Counting of crops can detect issues that might occur during planting, such as seed spacing or missing plants due to a problem with an automatic planter. Accurately knowing the number of plants is critical for estimating harvest yield.

In addition to counting, the crop counting tool can also be used to look at the health of individual plants and compare them with the health of other plants. 

Digital Surface Mapping

Digital Surface Maps (DSM) show the contour of the surface including vegetation while Digital Terrain Maps (DTM) show the contour of the ground without vegetation. DSM's are useful for showing crop and forest height which can indicate plant health. DTM's are used to predict runoff, assist in irrigation or show areas that might be subject to water pooling.

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