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The Agricultural Landscape Understanding API segments the landscape into different elements, leading to identification of different classes including individual field boundaries, trees, woodlands and minor irrigation structures like farm wells and dug ponds.

These enable insights at an individual field level and can form the fundamental base layer on top of which agricultural solutions are built, causing a shift from aggregate to individual level insights. The ability to share these insights dynamically for a specific latitude-longitude or an area of interest is the primary value proposition of the Agricultural Landscape Understanding output. The API provides an efficient and scalable way to provide the output of our Agricultural Landscape Understanding model

Understand The Landscape Segmentation Data

Agricultural landscape and multi-class panoptic segmentation

We solve the Agricultural Landscape Understanding problem using a multi-class panoptic segmentation model:

This image reflects diversity of landscape features in agricultural land

Diversity of landscape features in agricultural

A screenshot of our demo zoomed in at a specific location, showing multiple field boundaries and irrigation structures

A screenshot of our demo zoomed in at a specific location

Data schema

Each landscape feature has an identifier which is basically a plus code of the centroid of the feature. (in extremely rare cases the identifier may not be unique).

A landscape feature with the id: 7J9PCCM8+7658

A landscape feature with the id: 7J9PCCM8+7658

API is designed to serve both researchers / academia as well as the needs of mobile applications for downstream on-ground stakeholders for agritech enterprises

Using the S2 library, the landscape data is sharded into small areas called S2Cells. These S2Cells are like little grids, and we used Level13, which makes them about 1 kilometer by 1 kilometer in size.

A level 13 S2Cell with the id: 4306523180387794944

A level 13 S2Cell with the id: 4306523180387794944

Landscape features are bucketed into s2cells by centroid location so a landscape feature will uniquely be only in a single cell

An S2 cell is marked in blue, showing multiple landscape features inside it in red color

Landscape features (red) that are within the S2Cell (blue)