NDVINormalized Difference Vegetation Index: Crop growth Monitoring
NDRENormalized Difference Red Edge Index: For NITROGEN stress monitoring
EVIEnhanced Vegetation Index: More sensitive Crop growth monitoring, ideal for dense vegetation.
CHIChlorophyll content Index: Ideal for monitoring biotic stress, yield estimation and Nitrogen requirements.
NDWINormalized Dierence Water Index: Ideal for irrigation management. It provides insights on the water content in plants
LAILeaf Aera Index: Vegetation Index ideal for dense vegetation
SAVISoil-adjusted vegetation index: A Modication to NDVI for crop monitoring with correction for 'soil brightness' factor
RGBImage in Natural Color at 10m x 10m resolution
N-FERTILIZER-ZONESGenerate 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.
GEOJSON2SHPFILEGet Variable application rate zones in Shapele format suitable for integration with JohnDeere, Trimble and others
FIELD-BOUNDARYSend GPS point in a field and Automatically generate field boundary anywhere in the world
Available Very Soon
SEEDING-ZONESGenerate Variable seeding zones based on years of historical intra-eld crop growth & yield variability.
SMIRadar based Soil Moisture Index: Get soil moisture variability and intensity for farms that do not have ground sensors every 2-3days
SMCRadar 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-WINECustomized to your wine plantation, get reliable (already 87% accurate) wine yield prediction ahead of time to plan your supply chain better
BEYOND-CLOUD-NDVI100% 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-CARBONAvoid 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