Imagine a farmer who’s about to till his farmland, but has no idea when the rains will arrive. However, instead of brooding any further, he uses a mobile app to figure the precise date and time of rainfall. Get ready for some big action with Big Data in agriculture! With the view of this, the Indian Government and private companies are taking the active interests to deploy Big Data analytics, artificial intelligence (AI), and the Internet of Things (IoT) to gain insights into and offer solutions to problems in India’s agriculture sector.
To experiment with such technology, the NITI Aayog, the government’s main think-tank, will start a pilot project on “precision agriculture” using AI in 10 districts to be selected from seven states: Assam, Bihar, Jharkhand, Madhya Pradesh, Maharashtra, Rajasthan, and Uttar Pradesh.
This month, the NITI Aayog signed an agreement with IBM to develop a model for crop-yield predictions using AI so that farmers can be provided real-time advisories in these states.
While the project is aimed at improving yields through last-mile solutions, the private sector is also wagering money on so-called smart-agriculture systems. Companies such as CropIn and Robert Bosch Engineering and Business Solutions, say they are equipped to provide a range of technologies based on AI in areas such as pest surveillance, climate control, controlled irrigation, and warehouse management.