AgNext, which is an initiative of IIT Kharagpur to promote digitisation of farms, has come up with Hyper Spectral Imaging Technology that aids in satellite remote sensing of farms to determine soil fertility and prevent crop infestation. The importance of Digital Transformation of agriculture compares with past technologically revolutionary advents in farming and with the aim to create integrated hyper-local farm data collection and crop analytics platform, the IIT Kharagpur graduate comes up with a revolutionary Drone Technology. Drones are Unmanned Aerial Vehicles (UAV), equipped with sensors and imaging techniques which help in tracking the stage germination, mid-stage monitoring, harvest stage yield production, detect weeds and pest attacks and crop imaging in an effective and efficient manner. These UAVs are transmitted on the 2.4 gigahertz radio waves, and can be accessed through tablets and smart phones.“The technology has been developed in such a way that farmers can make a map of their soil and highlight the most fertile soil lands,” said Taranjeet Singh, representing IIT Kaharagpur. This furthers the programme of the Central government that is seeking to invest a significant amount of money in collecting soil samples from across the length and breadth of India. “With the technology that IIT Kharagpur has developed, efforts can be minimised and investment in this programme reduced.”
Drone analytics shall help to provide security and surveillance for the farm, remote sensing to yield forecasts, cropping patterns and soil analytics that tests soil health and provides soil health card. AgNext has been providing a unique platform to solve agriculture issues with the help of software, hardware and analytics-as-a-service. The drone technologies caters to avoiding wastage of efforts and money of the farmers, by reducing the input cost by 30% and accelerate the crop yield by 20%. The rural and marginal farmers are often prone to wastage of fertilizers and pesticides but, UAVs shall help in educating the farmers to know the precise amount of fertilizers, pesticides and water required by the farm land in accordance to the soil fertility.