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Introduction

  • Description
  • Available Services

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  • Access Results From Satellite Imagery Processing
  • Using Raster Files

Services

Available Services

  • NDVI Normalized Difference Vegetation Index: Crop growth Monitoring
  • NDRE Normalized Difference Red Edge Index: For NITROGEN stress monitoring
  • EVI Enhanced Vegetation Index: More sensitive Crop growth monitoring, ideal for dense vegetation.
  • CHI Chlorophyll content Index: Ideal for monitoring biotic stress, yield estimation and Nitrogen requirements.
  • NDWI Normalized Dierence Water Index: Ideal for irrigation management. It provides insights on the water content in plants
  • LAI Leaf Aera Index: Vegetation Index ideal for dense vegetation
  • SAVI Soil-adjusted vegetation index: A Modication to NDVI for crop monitoring with correction for 'soil brightness' factor
  • RGB Image in Natural Color at 10m x 10m resolution
  • N-FERTILIZER-ZONES Generate Variable application Rate Zones for fertilizer management. You can choose the type of index, number of zones, the date of image to dene the variable rate zones.
  • GEOJSON2SHPFILE Get Variable application rate zones in Shapele format suitable for integration with JohnDeere, Trimble and others
  • FIELD-BOUNDARY Send GPS point in the eld and Automatically generate eld boundary anywhere in the world

Available Very Soon

  • SEEDING-ZONES Generate Variable seeding zones based on years of historical intra-eld crop growth & yield variability.
  • SMI Radar based Soil Moisture Index: Get soil moisture variability and intensity for farms that do not have ground sensors every 2-3days
  • SMC Radar based Soil Moisture Content: Get volumetric soil moisture content value in every 10mx10m area of the eld every 2-3 days instead of at a single point from a ground based sensor.
  • YIELD-WINE Customized to your wine plantation, get reliable (already 87% accurate) wine yield prediction ahead of time to plan your supply chain better

Upcoming Features

  • BEYOND-CLOUD-NDVI 100% availability of NDVI service even when the eld is covered with clouds. We combine radar which is not aected by clouds with optical imagery to achieve this.
  • SOIL-ORGANIC-CARBON Avoid expensive lab based soil tests & get near realtime value of organic carbon in soil to plan eld activities better. It is developed using radar and optical satellite imagery
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