GS Paper 3
Syllabus: E-technology in the aid of farmers.
Context: 2-3 different articles came in the different newspapers about the same theme of AI, we have combined all of them.
Direction: AI is important for both Mains and Prelims. Understand the topic discussed (can make note of a few points)
John McCarthy, the American computer scientist, first introduced the world to the term “artificial intelligence” at the 1955 Dartmouth Conference.
- According to NITI Aayog, AI has the potential to add $1 trillion to India’s economy by 2035. And, as per some experts and academicians, a significant amount of this would be in the agriculture sector.
Application of the AI in agriculture
- Efficient and cost-effective resource and yield management in the agricultural sector.
- Enable Smart Agriculture: It refers to the usage of technologies like the Internet of Things, sensors, location systems, robots and artificial intelligence on your farm.
- AI, cloud computing, satellite imagery, and advanced analytics, in combination, can create an ecosystem for smart agriculture.
- Prediction analysis: Will ensure the highest possible yields based on the seasonal forecast models.
- Address supply-demand mismatch in real-time. For example, a supply-demand engine or predictor that can map supply and demand can reduce this issue significantly.
- Precision farming by determining whether pesticides and weedicides should be used by detecting and targeting weeds in the identified buffer zone.
- This can lead to higher yields and reduced use of pesticides and weedicides.
- Extension services: AI-based natural language translation facilitates the issuance and spread of Agri-advisories, weather forecasts, and early warnings for droughts in multiple vernacular languages.
- Lack of proper infrastructure and know-how, faith in conventional styles of functioning, lack of awareness and scarcity of farmer capital,
- Fragmentation of land could also prove to be a hurdle for the large-scale implementation of new technologies.
- ICAR initiatives for cyber agro-physical systemsto make Indian farming a viable, self-sustaining, and internationally competitive enterprise.
- NITI Aayog identifies agriculture as one of the focus areas as part of its national strategy for AI.
- Karnatakahas partnered with a leading MNC for agricultural produce, price-related information, and intelligence using predictive modelling
- Uttar Pradesh is collaborating with the Bill and Melinda Gates Foundation (BMGF) and the Tata Trust to set up the Indian Agritech incubation network at IIT-Kanpur
- Maharashtra has launched the Maha AgriTech projectthat is aimed at utilizing and promoting the application of satellites and drones to solve various agrarian problems.
It is high time that collaborative Agri-data stacks are created and MSME and large corporations invest in this space. There is a need for the right mix of participation from public and private institutions.
Q. Artificial Intelligence will revolutionize the farming sector in India. Critically comment. (15M)