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AI and IoT in Indian Agriculture: Digital Transformation for Farmers

The Government of India is aggressively integrating Artificial Intelligence (AI) and Internet of Things (IoT) into the agricultural sector to enhance crop productivity and farmer livelihoods. Key initiatives include the use of AI-based chatbots like Kisan e-Mitra, satellite-based crop mapping, and the large-scale deployment of Kisan Drones. These technologies aim to streamline the "Seed to Market" (Beej Se Bazaar Tak) journey by providing real-time data on weather, soil health, and pest control. This digital push is central to India's vision of becoming a developed nation (Viksit Bharat) by 2047.

What Happened

The Ministry of Agriculture and Farmers' Welfare has intensified the adoption of AI, IoT, and Drone technology. This includes launching AI-powered platforms for pest surveillance and providing heavy subsidies for "Kisan Drones" to modernize traditional farming.

When & Where

The latest updates were highlighted in July 2025 and September 2025 during parliamentary replies and national conferences in New Delhi, reflecting ongoing implementation across all Indian states.

Who Is Involved

  • Ministry of Agriculture & Farmers' Welfare: Lead implementing agency.
  • ICAR (Indian Council of Agricultural Research): Conducts field demonstrations.
  • Women SHGs: Primary beneficiaries under the Namo Drone Didi scheme.
  • IIT Ropar: Developing IoT devices for high-value crops like saffron.

How It Works

The mechanism follows a multi-layered digital approach:

  • Data Collection: Drones and satellites map crop health and soil moisture.
  • Processing: AI algorithms predict pest attacks and yield estimates.
  • Dissemination: AI chatbots (Kisan e-Mitra) provide voice-based solutions to farmers in local languages.
  • Implementation: SHGs and FPOs provide drone-as-a-service for precision spraying of fertilizers.

Why It Matters

This shift is critical for Precision Farming, which reduces the overuse of water and chemicals. It aligns with the UPSC GS Paper III syllabus (E-technology in the aid of farmers) and helps in achieving sustainable development goals (SDG 2: Zero Hunger).

Historical Background

  • 2015: Launch of Soil Health Card Scheme (Initial data-driven approach).
  • 2023: Launch of the National Green Hydrogen Mission and expanded Drone Rules to simplify agricultural drone use.

Previous Related Events

The government launched the Digital Agriculture Mission in 2021. In 2024, the National Pest Surveillance System (NPSS) was formally integrated with AI to cover over 60 crops and 400 pests.

Static GK Connection

  • Article 48: Directive Principle of State Policy (DPSP) to organize agriculture on modern and scientific lines.
  • Concept: "Precision Agriculture" – an IT-based farm management system that identifies and manages variability within fields.

Future Impact

The goal is to create a "Global Hub for Green Hydrogen" and "Digital Crops." This will lead to reduced operational costs for farmers, higher export quality for crops, and significant carbon credit earnings for India.


🔑 Key Points for Revision

  • Kisan e-Mitra: AI chatbot supporting 11 languages for PM-KISAN.
  • NPSS: AI-based pest detection for 61 crops.
  • Namo Drone Didi: 15,000 drones for Women SHGs; 80% subsidy.
  • CHCs: Provide drone services on a rental basis to small farmers.
  • IIT Ropar IoT: Specialized sensors for saffron cultivation.
  • SIGHT Program: Strategic Interventions for Green Hydrogen Transition.
  • Subsidy Limit: Max ₹8 lakh for SHGs; ₹5 lakh for individual SC/ST/Women farmers.
  • Target 2030: 5 MMT Green Hydrogen production; 125 GW renewable capacity.
  • Digital Infrastructure: Use of optical and microwave remote sensing for crop forecasting.

🧠 Concept Link (Static GK Deep Dive)

Core Concept: Precision Agriculture (PA)

  • Definition: A farming management concept based on observing, measuring, and responding to inter and intra-field variability in crops.
  • Scientific Principle: Uses Global Positioning System (GPS) and GIS to ensure "Right Input at the Right Place at the Right Time."
  • Connection: Current AI and IoT initiatives provide the "eyes" (sensors) and "brain" (AI) for PA.
  • Historical Context: Originated in the US in the 1980s; adopted in India through the "Digital Agriculture Mission."
  • Related Policy: Sub-Mission on Agricultural Mechanization (SMAM).
  • India Relevance: Vital for small landholdings to maximize yield per hectare.
  • Global Comparison: Israel and Netherlands are global leaders in PA; India is catching up via low-cost indigenous technology.
  • Exam Angle: Often asked in Mains regarding doubling farmers' income and sustainable agriculture.

❓ Practice MCQs

Q1. With reference to 'Kisan e-Mitra', which of the following statements is correct?
A) It is a physical help desk for farmers at district levels.
B) It is an AI-powered chatbot that supports 11 Indian languages.
C) It is a satellite used for mapping barren land.
D) It is a scheme for providing solar pumps.

Answer: B

Explanation: Kisan e-Mitra is an AI chatbot developed by the Indian government to resolve farmer queries digitally in multiple regional languages.

Q2. Under the Namo Drone Didi scheme, what is the maximum percentage of subsidy provided by the government to Women SHGs for a drone package?
A) 40%
B) 50%
C) 75%
2) 80%

Answer: D

Explanation: The government provides a Central Financial Assistance of 80% of the cost of the drone package, up to a maximum of ₹8 lakh.

Q3. The National Pest Surveillance System (NPSS) primarily uses which technology?
A) Nuclear radiation
B) AI and Machine Learning
C) Manual field counting only
D) Genetically modified seeds

Answer: B

Explanation: NPSS uses AI/ML for the early detection of pests and crop diseases through field photographs and data analytics.

Q4. Which institution is developing IoT-based devices for enhancing saffron cultivation in India?
A) IIT Bombay
B) ICAR-IARI
C) IIT Ropar
D) IISc Bangalore

Answer: C

Explanation: IIT Ropar's Technology and Innovation Foundation is focused on IoT devices for saffron supply chains.

Q5. What is India's target for Green Hydrogen production annually by the year 2030?
A) 1 Million Metric Tonne
B) 5 Million Metric Tonnes
C) 10 Million Metric Tonnes
D) 20 Million Metric Tonnes

Answer: B

Explanation: The National Green Hydrogen Mission aims for 5 MMT production annually by 2030.

Q6. Which of the following is NOT a benefit of using 'Kisan Drones'?
A) Precision spraying of pesticides
B) Reducing the cost of farm operations
C) Increasing the manual labor requirement
D) Monitoring crop health

Answer: C

Explanation: Drones reduce the need for manual labor and exposure to hazardous chemicals while increasing efficiency.


📜 Previous Year Question Style (PYQ)

PYQ 1:

"The use of drones and artificial intelligence can revolutionize the Indian agricultural sector by addressing the challenges of labor shortage and input inefficiency." Discuss the initiatives taken by the government in this regard.

Answer: Candidates should mention Namo Drone Didi, SMAM financial assistance, Kisan e-Mitra, and Digital Agriculture Mission. Mentioning 80% subsidies and the role of SHGs in service delivery is key.

PYQ 2:

Consider the following statements regarding the National Green Hydrogen Mission:

1. It aims to make India a global hub for the production and export of Green Hydrogen.
2. It will help in the decarbonization of hard-to-abate sectors like steel and shipping.
3. The SIGHT program is a major financial component of this mission.

Select the correct answer:
A) 1 and 2 only
B) 2 and 3 only
C) 1 and 3 only
D) 1, 2 and 3

Answer: D

Explanation: All three statements are correct as per the Mission guidelines. It covers exports, decarbonization of heavy industries, and includes the SIGHT financial incentive.


✍️ Mains Answer Pointers

Question: Evaluate how the integration of Artificial Intelligence and Drone technology can contribute to the goal of 'Atmanirbhar Krishi' (Self-reliant Agriculture).

  • Introduction: Define the role of technology in modernizing India's agrarian economy and the shift from traditional to "smart" farming.
  • Economic Dimension: Reducing input costs (fertilizers/water) through precision; creating new rural livelihoods (Drone Didis).
  • Social Dimension: Empowerment of Women SHGs; reducing health hazards associated with manual pesticide spraying.
  • Environmental Dimension: Preventing soil degradation by avoiding chemical overuse; climate-resilient farming through AI weather alerts.
  • Technological Dimension: Leveraging the JAM trinity for direct benefits; indigenous development of drones by Indian startups.
  • Conclusion: Technology is not a replacement but an enabler that requires digital literacy and infrastructure to reach the last mile.
  • Diagram Suggestion: A flowchart showing "Data Collection (Drone/Satellite) → AI Analysis → Farmer Action → Yield Increase."

⚠️ Examiner Trap

  • Trap 1: Students often confuse the SIGHT program with a satellite program. The reality is that SIGHT (Strategic Interventions for Green Hydrogen Transition) is a financial incentive scheme for hydrogen production.
  • Trap 2: A common wrong assumption is that drone subsidies are 100% for all farmers. The reality is that 100% is only for ICAR/KVK institutes for demonstrations; individual farmers get 40–50% based on category.

🧭 Exam Tip

Examiners focus on scheme names (Namo Drone Didi) and specific numbers (5 MMT target, 80% subsidy) in Prelims. For Mains, the focus is on the social impact (Women SHG empowerment) and environmental benefits of using AI/IoT. Stay updated on which ports are being declared as "Green Hydrogen Hubs" (Kandla, Paradip, Tuticorin).