Crop Analytics

Emerging technologies like Artificial Intelligence (AI), Internet of Things (IoT), drones and Big Data & Analytics are transforming the complex farm-to-fork chain, setting the stage for precision agriculture. Procurement is of especial interest since the sector valued at $488 billion employs around half of the country’s population of 1.3 billion and contributes 18 per cent to the Gross Value Added (GVA). But just digitizing procurement can’t make it foolproof. There have been instances when even digitized systems can be vulnerable to leakages and manipulation. For the state actors, knowing the provenance of the crop is essential. Even more critical for them is to figure out if the farmer who sells the produce at a procurement centre has raised it. Moreover misreporting can occur even on plots where the crops grow. This problem springs out of the lack of ground truth intelligence in our procurement system.

An integrated crop analytics solution that combines satellite-based GIS mapping, image analysis & processing with the power of visualization offers a way out of the procurement riddle. The solution attaches importance to granular data collection and plot-level analytics to capture satellite images that can be analyzed using Machine Learning (ML) modules. To know more you can go through the concept note on crop analytics.

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