Indian agricultural companies firm Lawrencedale Agro Processing India (Leaf), has partnered with Japan-based Sagri enhance harvest estimations and productiveness utilizing satellite tv for pc know-how.
Leaf and Sagri are aligning to disrupt the sphere of data sourced from satellites and making it significant for marginalised tribal farmers who’re struggling to extend their productiveness.
Sagri’s Satoshi Nagata stated his firm specialises harnessing satellite tv for pc information and utilizing synthetic intelligence, machine studying, and mapping know-how to resolve issues plaguing the agriculture sector.
“Since satellite tv for pc information might be obtained over a large space and in a homogeneous method, its usefulness is anticipated,” stated Nagata.
“Nevertheless, however, it’s troublesome for finish customers to immediately utilise satellite tv for pc information. It’s this hole that Leaf-Sagri partnership will handle and supply info appropriately.”
Palat Vijayaraghavan, founder and chief government of Leaf, stated the partnership was about extra than simply gathering information.
“Leaf’s strategic alignment with Sagri leverages the developments in satellite tv for pc know-how, analyses the vegetation index acquired from satellite tv for pc information and makes use of machine studying know-how to resolve the key agricultural points,” stated Vijayaraghavan.
“It isn’t simply an app that gives information that may be obtained from satellites, however an algorithm that connects to the answer.”
The answer makes use of satellite tv for pc imagery to calculate the Normalised Distinction Vegetation Index (NDVI) of the farmland over a time period. In different phrases, NDVI is a measure to calculate farm manufacturing and productiveness. With this wealth of details about farmland and with its proprietary know-how, Leaf-Sagri workforce helps farmers improve their harvest high quality and yields.
“We use satellite tv for pc imagery to calculate the NDVI of the farmland over a time period. That is additional helped by extra information corresponding to space of farmland, distance of the farmland from the primary street, water provide and climate or local weather inside that area,” added Vijayaraghavan.
“Once we can predict the standard of the produce together with the yield, it offers the farming ecosystem with a lot wanted confidence to come back with a number of companies corresponding to entry to organised farm credit score and farm insurance coverage.”