Digitalisation of Agriculture in India


The digitalisation of agriculture describes integrating cutting-edge digital expertise into the farm manufacturing system, together with synthetic intelligence (AI), robotics, uncrewed aviation methods, sensors, and communication networks. Manufacturing of all meals grains in India was predicted to be 275 million tonnes (MT) in 2017–18. India is the world’s high producer of pulses (25 per cent of complete output), client of pulses (27 per cent of complete consumption), and importer of pulses (14 per cent). In keeping with the Meals and Agriculture Group (FAO), this makes India the world’s second-largest meals producer.

India is the world’s high producer of pulses, paddy, wheat, and wheat, respectively. The Nationwide Agricultural Analysis System (NARS), which incorporates the Indian Council of Agricultural Analysis (ICAR) institutes and State Agricultural Universities, is likely one of the largest agricultural analysis methods on the planet. Agriculture in India employs over 42 per cent of the labour pressure (2019), contributes 19.9 per cent of the Gross Home Product (GDP) (2020-21), and supplies meals safety for about 1.3 billion folks. Therefore, expertise and the digitalisation of agriculture right here play a job of a catalyst to enhance and improve manufacturing.

In keeping with the NITI Ayog analysis on synthetic intelligence, agriculture should develop at a charge of 4 per cent or greater proper now to take care of an annual development charge of 8–10 per cent. Digitisation is essential for reaching this degree of success. The NITI Aayog predicted in a report that by 2025, AI in agriculture can be price $ 2.6 Bn and rise at a tempo of twenty-two.5 per cent Compound Annual Progress Charge (CAGR). AI at present helps farmers improve yield by helping them in selecting higher crops, hybrid seeds, and resource-efficient farming strategies. It is usually utilised to enhance farming productiveness and accuracy to help farmers in creating seasonal forecasting fashions.

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Digital Agriculture Initiatives in India

  • The Digital Agriculture Mission 2021–2025 was launched in September 2021 by Narendra Singh Tomar, Union Minister of Agriculture and Farmers Welfare. 5 Memorandum of Understandings (MoUs) had been signed to advance digital agriculture by pilot initiatives with Cisco, Ninjacart, Jio Platforms Restricted, ITC Restricted, and Nationwide Commodity and Derivatives Change (NCDEX) e-markets Restricted (NeML). The Digital Agriculture Mission 2021–2025 goals to encourage and pace up initiatives based mostly on cutting-edge applied sciences, together with AI, blockchain, distant sensing, robots, and drones. 
  • Over 1,000 agri-tech start-ups are based mostly in India, and varied enterprise capital funds, mortgage funds, and angel traders have lengthy supported the sector. These start-ups have progressive concepts that help farmers in enhancing farming strategies and produce. 
  • To supply farmers with real-time knowledge and the mandatory recommendation, NITI Aayog has teamed up with Worldwide Enterprise Machines (IBM) to create a crop manufacturing forecast mannequin supported by AI. It aids in enhancing crop output, soil high quality, agricultural enter management, and early illness outbreak warning.
  • In August 2019, Cisco created an Agricultural Digital Infrastructure (ADI) resolution to enhance farming and information alternate. This performed an important function within the knowledge pool that the Division of Agriculture developed below the Nationwide Agri Stack.
  • The Jio Agri (Jio Krishi) platform was launched in February 2020, and it digitalised the agricultural ecosystem alongside your entire worth chain to empower farmers. The platform’s main perform leverages knowledge from standalone functions to supply counsel. Its superior options use knowledge from varied sources, enter it into AI algorithms, after which ship exact, individualised recommendation.
  • India is progressively embracing climate-smart farming strategies, which can help in altering the nation’s ecology and chopping greenhouse gasoline emissions from agricultural actions. For example, the farmers in Gujarat’s Dhundi village have begun using photo voltaic electrical energy and different sustainable power sources for irrigation.
  • Microsoft and the Indian authorities have teamed as much as help India’s small-holder farmers by working a pilot programme referred to as ‘Unified Farmer Providers Interface’. The alliance goals to spice up farmers’ incomes by improved value administration and elevated agricultural yield utilizing AI sensors. The collaboration would speed up using AI in farming.
  • Six establishments are part of the federal government’s Sensor-based Sensible Agriculture (SENSAGRI) programme. Drones can be utilised on this idea to scout over land areas effectively, purchase priceless data, and immediately talk the info to farmers.

India can be serving to the farmers by offering agricultural loans that can assist improve pure farming practices and considerably modernise agriculture, emphasising agri-waste administration. As well as, 11 crore farmers have obtained $ 26.4 Bn by the Pradhan Mantri (PM) Kisan Samman Nidhi initiative. Moreover, the marketplace for natural merchandise has grown to $ 1.5 Bn. The federal government can be encouraging AI to revolutionise agricultural and farming developments and giving monetary help to agri-tech companies.

India is regularly working to develop and implement rules that may enhance the sustainability of its agricultural trade. Partnerships between companies and the federal government can support in creating a sensible agriculture trade, given India’s dynamic company construction.

To achieve targets like doubling farmer incomes and sustainable development, the Indian authorities is endeavor these initiatives and programmes. The widespread adoption of digital agriculture in India would subsequently require a multi-stakeholder technique by which the federal government performs a major enabler’s function within the ecosystem.

This has been co-authored by Bhakti Jain and Ishita Dhar.



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