In 2015, the Government of India had inaugurated the Digital India Movement to transition India's public service sector into the digital front. Farming is a colossal work vertical with a GDP portion of 14% and holds a vital spot in this mission for digitization.
The fresh food market has seen rapid development. Although digitalization has eliminated different hindrances and disentangled the way toward ordering produce from any corner of the world, exporting these items is still an arduous errand.
Over the past century, technology has made leaps and bounds bringing ease to people's lives. The agricultural industry is no different. With access to breakthrough technologies like drones, GPS, satellite imagery, robots, predictive modeling, machine learning & blockchain.
There is a need for high-tech tools that can bring improvement to the foresee ability of various farming operations. The goal is to achieve profitable, predictable and sustainable yield agriculture across all farms.
Artificial intelligence can be used, for example, to classify fruit varieties or to identify damaged parts (e.g. apples with marks or colour deviations). To cover all possible variances with classical image processing would be very time-consuming and costly. AI is able to solve these challenges in no time at all. With IDS NXT ocean, there is now a user-friendly complete solution for industrial applications available. It requires neither special knowledge in deep learning nor camera programming.