Digital Agriculture: AgriStack, AI, Drones and E-Technology in Farming

Agriculture engages about 46.1 per cent of India's workforce but contributes only about 16 per cent of GDP (FY24). That productivity gap is the economic problem that technology is being asked to solve: how do you raise yields, cut costs and stabilise incomes for 140 million-plus farmers without expanding land? The answer India is building is a digital public infrastructure for agriculture, anchored in AgriStack, the Digital Agriculture Mission's farmer-centric data layer. Three UPSC mains questions since 2015 have asked how technology and digital India can transform farming, and the 2023 question on e-technology in production and marketing is the direct mandate for this article.

This article maps the full stack: AgriStack's Farmer ID and its 2026 rollout status, the three core registries and the Agricultural Data Exchange, AI and drones on the field, the phase-wise uses of e-technology from sowing to marketing, the app ecosystem, the barriers to adoption, and a PYQ weightage analysis. As with the other agri articles, storage-and-market technology like e-NAM is covered at operational depth here, cross-referencing rather than repeating our article on storage, transport and marketing.

The digital agriculture stack: what it is

AgriStack is the digital public infrastructure (DPI) for agriculture being built under the Digital Agriculture Mission (DAM), approved by the Union Cabinet in September 2024 with an outlay of Rs 2,817 crore. A DPI is a set of shared, interoperable digital building blocks, identity, registries and data exchange, on which public and private services can be built, the same idea that made UPI transformative in payments. AgriStack's core product is the Farmer ID, a unique digital identity for every farmer, linked to land records and seeded with demographic and farm data, so that benefits, advisories and credit can be delivered without repeated paperwork.

Around the identity sit the data registries. The Agricultural Data Exchange (ADeX) is India's first Agricultural Data Exchange, launched by Telangana with the World Economic Forum and IISc in August 2023: an open-source, consent-based platform for secure standards-based data exchange between agri data providers and users under the Agriculture Data Management Framework (ADMF). The Krishi Decision Support System (DSS) is the geospatial analytics platform that combines remote sensing, weather and soil data for crop monitoring and drought assessment. The Integrated Command and Control Centre (ICCC) is the operational hub that fuses AI, remote sensing and GIS for real-time agricultural monitoring. Layered on top are transaction systems: e-NAM for electronic mandi trading and ONDC for open e-commerce, plus state stacks such as Karnataka's FRUITS (Farmer Registration and Unified Beneficiary Information System) and Jharkhand's GIS-based Climate Smart Agriculture platform.

AgriStack rollout: where the mission stands in 2026

The rollout numbers are now substantial enough to quote with dates. Farmer ID data entry began in September 2024 alongside the Digital Agriculture Mission's approval, and by early August 2026, 10.31 crore Farmer IDs, covering 84.68 per cent of PM-KISAN beneficiaries and about 77 per cent of operational landholdings had been generated (Rajya Sabha reply, August 3, 2026; 10.41 crore by August 22, 2026). The Digital Crop Survey for rabi 2025-26 covered 648 districts, capturing over 31.3 crore plots with geotagged, crop-wise data, while the Digital General Crop Estimation Survey (DGCES) ran in 23 states and Union Territories to make yield estimation objective and technology-driven.

State leadership varies sharply. Telangana leads: the Centre sanctioned Rs 424 crore to it under SASCI for completing the Farmers' Registry, and a further Rs 175 crore for 2026-27 (approved August 31, 2026) for its AgriStack-based fertiliser-distribution milestone. Andhra Pradesh has issued Farmer IDs to 52.08 lakh of its roughly 60 lakh PM-KISAN beneficiaries, about 87 per cent. Goa began its AgriStack rollout on September 11, 2026, when CM Pramod Sawant handed Farmer Enrolment IDs to the state's first five enrolled farmers in Surla, a useful prelims fact. The next steps under the Mission are the nationwide Farmers' Registry, the Krishi DSS rollout and the Soil Profile Mapping project. The policy significance: for the first time, the state will know who farms what, where, in near real time, which is the precondition for targeted subsidies, crop insurance and procurement.

AI, IoT and drones on the field

Artificial Intelligence in agriculture means machine-learning models trained on satellite imagery, soil data and weather feeds that predict yields, detect pest outbreaks and recommend input doses. Plantix, the AI-powered plant doctor app, diagnoses crop diseases from a smartphone photograph and suggests treatment, putting an agronomist in every farmer's pocket. The startup Fasal uses IoT sensors and AI advisories to cut irrigation water use by about 40 per cent, a figure worth quoting in water-management answers.

Drones spray pesticides and fertilisers with centimetre-level precision, cutting chemical use and operator exposure. The Drone support under SMAM subsidises drone purchase and custom hiring, while Namo Drone Didi equips 15,000 women Self-Help Groups with drones (one member trained as pilot, another as technician) for fee-based spraying services, pairing gender empowerment with agri-tech. Adoption is uneven across states, tracking the digital-divide geography discussed below. The Internet of Things (IoT) in irrigation, soil-moisture, temperature and humidity sensors linked to automated controllers, is demonstrated by Tamil Nadu Agricultural University's precision-farming trials that raised water-use efficiency by 30 to 40 per cent.

E-technology across the crop cycle

The 2023 question asked how e-technology helps farmers in production and marketing, and the strongest answers walk the crop cycle stage by stage.

Pre-sowing and sowing

Before sowing, advisories decide the crop. IMD's Meghdoot app gives location-specific weather forecasts and agromet advisories; private players like Skymet sell hyperlocal forecasts. The Soil Health Card scheme issues farm-wise nutrient status reports with fertilizer recommendations. Input e-commerce through Kheti Badi, AgroStar and BigHaat brings seeds and fertilisers to the farm gate, while ISRO's Bhuvan platform provides satellite imagery for land-use planning. At sowing, FASAL (Forecasting Agricultural output using Space, Agro-meteorology and Land-based observations) gives satellite-based crop forecasts, Mahindra's Krish-e offers digital agronomy services, and the Kisan Suvidha app bundles weather, market prices, plant protection and expert advisories.

Production

During the crop season, technology manages the growing crop. Plantix diagnoses disease, drone support under SMAM enables precision spraying, Tamil Nadu's precision-farming programme demonstrates IoT irrigation, Digital Green in Andhra Pradesh spreads best practices through farmer-made videos, and the mKisan portal and e-Krishi Samvad push SMS and voice advisories in local languages. The Krishi Vigyan Kendras (KVKs), the farm-science centres run by ICAR, are the physical extension backbone: 713 KVKs serve more than 140 million farmers, and digital tools multiply their reach.

Post-harvest and storage

After harvest, digital tools protect value. e-NWRs, electronic Negotiable Warehouse Receipts issued against produce in WDRA-registered warehouses, let farmers borrow against stored grain and sell later (detailed in our storage article). Solar-powered cold storage from startups like Tan90 and Ecozen brings the cold chain to the farm gate, and Common Service Centres (CSCs), the village-level digital kiosks, give farmers access to e-NAM, insurance and credit services.

Marketing and transport

In marketing, e-NAM's 1,656 integrated mandis (March 2026) with Rs 4.84 lakh crore of cumulative trade are the headline platform, complemented by Karnataka's ReMS exchange and FPOs using digital platforms to sell directly. Blockchain pilots by firms such as AgNext trace produce from farm to fork, and direct-to-consumer brands cut intermediaries. In logistics, the Kisan Rath app matches farm produce with trucks, Ninjacart uses AI for demand prediction in fresh-produce supply chains, startups promising farm-to-city delivery in hours, and APEDA's Agri-Export Portal digitises export documentation.

Government initiatives: the programme architecture

NeGP-A, the National e-Governance Plan in Agriculture, is the umbrella that digitised extension: Kisan Call Centres, KVKs and CSCs were brought onto common digital platforms. The Kisan Sabha app connects farmers to transporters, warehouses and FPOs. Seednet India is the national seed portal tracking certified seed availability. The Krishi Sakhi Convergence Programme programme (a DA&FW-Rural Development convergence initiative of August 2023) trains and certifies 70,000 rural women as para-extension workers in natural farming and soil health, and Krishi Sakhis also help register farmers on AgriStack. On the private side, ITC's MAARS super-app, Reliance's Jio Krishi platform and Fasal's sensor-advisory stack show how agri-tech startups build on the public rails that AgriStack provides.

The adoption challenge: who is left out

Technology's benefits skew toward the connected. The digital divide is gendered and regional: nationally only 48.4 per cent of rural women aged 15 and above own a mobile phone, and in West Bengal 80 per cent use one but only 43 per cent own one (NSO, Comprehensive Modular Survey: Telecom 2025), and smartphone ownership skews toward larger farmers. PMGDISHA, the rural digital-literacy mission, trained 6.39 crore people (against a 6-crore target; 7.35 crore enrolled, 4.78 crore certified) before concluding on March 31, 2024, but training rarely reached the oldest and poorest farmers. Language is a barrier when apps default to English; affordability blocks sensor and drone purchases; and power reliability fails in places like Lahaul-Spiti, where connectivity itself is intermittent.

Trust and capacity complete the picture. Farmers hesitate to share land and crop data without clear data-privacy safeguards, which is why AgriStack's consent architecture matters. High-end technology concentrates among startups and large farmers: drone uptake is uneven across states, tracking the digital divide. And extension capacity is thin, 713 KVKs for over 140 million farmers, so digital advisories must substitute for, not merely supplement, human extension. Reported cases where generic advisories failed because they ignored local agro-ecology are the standard cautionary example: technology without localisation misleads.

The way forward

The source literature converges on six priorities. First, strengthen rural digital infrastructure: last-mile connectivity, affordable smartphones and reliable power. Second, build digital literacy through KVKs, CSCs and the Krishi Sakhi Convergence Programme, with content in local languages. Third, legislate data privacy and consent for farm data so AgriStack earns farmer trust. Fourth, subsidise access to high-end technology, drones, sensors and AI advisories, through custom-hiring centres rather than individual ownership. Fifth, integrate platforms: one Farmer ID opening e-NAM, PM-KISAN, crop insurance and credit in a single login. Sixth, localise everything: advisories tuned to agro-climatic zones, validated by KVKs, because a generic national algorithm is worse than no advice.

PYQ weightage analysis: three questions, one direction

Digital agriculture has drawn three direct questions. In 2015 (12.5 marks), the question asked how Digital India could help farmers improve farm productivity and income: the expected answer was the extension stack, market information and financial inclusion. In 2021 (15), the question linked diversification to technology: precision farming, protected cultivation and value addition. In 2023 (10), the sharpest question yet: how e-technology helps farmers in production and marketing, demanding the crop-cycle walkthrough used in this article.

The direction is clear: the examiner has moved from 'what can technology do' to 'show me the mechanism at each stage'. For 2015-style questions, anchor on AgriStack's Farmer ID and the 10.31 crore IDs (84.68 per cent of PM-KISAN beneficiaries) figure. For 2023-style questions, structure by stage, pre-sowing to marketing, naming one app or platform per stage. And always balance the promise with the adoption challenge: the digital-divide paragraph is what separates a brochure answer from a 10-mark answer. Quote the DGCES and Digital Crop Survey numbers to show the system is operational, not aspirational.

Key Terms

• Integrated Command and Control Centre (ICCC): The Integrated Command and Control Centre is the operational hub of the Digital Agriculture Mission that fuses AI, remote sensing and GIS for real-time agricultural monitoring. It turns DSS analytics into live dashboards for administrators during sowing, stress and harvest windows. For UPSC it represents the command-centre model applied to farm governance. Example: Officials watching live sowing-progress dashboards during kharif at the ICCC show the hub's function.
• Krishi Decision Support System (DSS): The Krishi Decision Support System is the geospatial analytics platform of the Digital Agriculture Mission that combines remote sensing, weather and soil data for crop monitoring and drought assessment. It gives policymakers district-level intelligence on sowing progress, crop health and stress. For UPSC it is the data brain behind evidence-based farm policy. Example: Its satellite-based drought assessment triggers timely relief decisions in a failing monsoon district.
• mKisan portal and e-Krishi Samvad: The mKisan portal and e-Krishi Samvad are the Agriculture Ministry's SMS and web platforms pushing crop advisories to registered farmers. mKisan sends targeted text messages on weather, pests and schemes, while e-Krishi Samvad hosts expert interaction. For UPSC they are the mass-reach advisory layer of public extension. Example: A pest-outbreak SMS reaching lakhs of cotton farmers overnight shows mKisan's broadcast power.
• Krishi Sakhi Convergence Programme: The Krishi Sakhi Convergence Programme is the August 2023 joint initiative of the Agriculture and Rural Development ministries training rural women as para-extension workers. Around 70,000 Krishi Sakhis are certified in natural farming and soil health to advise fellow farmers. For UPSC it fuses women's empowerment with grassroots extension. Example: A certified Krishi Sakhi demonstrating Jeevamrit preparation to her self-help group shows the programme's peer model.
• Agricultural Data Exchange (ADeX): The Agricultural Data Exchange is the proposed open data platform where public and private players can access anonymised agricultural datasets for innovation. Part of the Digital Agriculture Mission, it is meant to power startups, insurers and researchers while protecting farmer privacy. For UPSC it is the data-democratisation layer of AgriStack. Example: An agri-startup building a pest-alert app on ADeX weather and crop data illustrates its intended use.
• Digital Agriculture Mission (DAM): The Digital Agriculture Mission is the central mission that builds AgriStack, the Krishi Decision Support System and the Agricultural Data Exchange as the digital backbone of farming. It creates the farmer registry, crop-sown data and geospatial analytics that schemes and AI advisories plug into. For UPSC it is the umbrella programme for digitising Indian agriculture. Example: Its farmer registry underpins everything from targeted PM-KISAN payments to AI crop advisories.
• Common Service Centres (CSCs): Common Service Centres are the village-level digital kiosks run by local entrepreneurs offering government and commercial e-services. In agriculture they help farmers register for schemes, insurance and soil testing where smartphone access is thin. For UPSC they are the assisted-digital bridge of rural service delivery. Example: A farmer enrolling for PMFBY at the village CSC with the operator's help shows the assisted model.
• Krishi Vigyan Kendras (KVKs): Krishi Vigyan Kendras are the district-level farm science centres run by ICAR and agricultural universities for technology testing, demonstration and farmer training. Every rural district is meant to have one, making them the last-mile face of public agricultural research. For UPSC they are the core institution of the extension system. Example: A KVK's frontline demonstration of a new mustard variety convinces neighbouring farmers to adopt it.
• Internet of Things (IoT): The Internet of Things in agriculture is the network of field sensors measuring soil moisture, temperature, humidity and nutrient levels, feeding data to phones and automation systems. It enables smart irrigation and precise input application with minimal human intervention. For UPSC it is the sensing layer of precision farming. Example: Soil-moisture probes that automatically trigger drip irrigation in a vineyard are farm IoT in action.
• Soil Health Card scheme: The Soil Health Card scheme is the 2015 programme that tests farm soil and issues cards reporting nutrient status with fertiliser recommendations. Run through soil-testing labs, it promotes balanced fertilisation instead of urea-heavy application. For UPSC it is the flagship soil-health intervention, linked to neem-coated urea and organic promotion. Example: A farmer cutting urea use after his soil health card revealed excess nitrogen shows the scheme's behavioural goal.
• Digital Crop Survey: The Digital Crop Survey is the programme replacing manual, patwari-based crop-area recording with plot-level digital capture through a mobile app. Piloted in several states, it feeds accurate sown-area data into AgriStack and insurance systems. For UPSC it is the ground-truth layer that makes digital agriculture credible. Example: An enumerator photographing and geo-tagging each sown plot in a village builds the Digital Crop Survey.
• Kisan Suvidha app: The Kisan Suvidha app is the Agriculture Ministry's mobile app giving farmers weather, market prices, plant-protection and input-dealer information in one place. It bundles advisories, helplines and scheme details for quick reference. For UPSC it is the early example of bundling farm services on mobile. Example: A farmer checking the nearest seed dealer's contact and today's mandi price on Kisan Suvidha shows its utility design.

Practice questions