The rural non-farm economy, women and IT

Detail

1. Why rural India needs non-farm work

• Agriculture is "already overcrowded" (NCERT, Class 11, Rural Development).
• More people work on the land than the land needs.

• So much of the growing labour force must find work outside farming.

• Disguised unemployment is the hidden problem here. It means more people work on a farm than are needed. If some leave, total output does not fall.

• Diversification means spreading rural income over many activities, not only crops. It has two parts:
• moving into allied activities like dairy, poultry and fisheries

• moving into non-farm work like processing, crafts and services

• Agriculture still employs most rural workers:

• 57.7% of rural workers were in agriculture (July–September 2025, PLFS quarterly bulletin) [9].
• So the shift out of farming is real, but slow.

2. The rural non-farm economy

• Non-farm employment means rural work outside agriculture, such as processing, manufacturing, trade, transport, tourism and crafts.
• It has two segments:

Segment	Examples	Condition
Dynamic, with healthy growth links	Agro-processing industries, food processing, leather, tourism	Growing
Traditional, home-based	Pottery, crafts, handlooms	Has potential, but lacks infrastructure and support. Productivity is low

• Healthy growth links mean the activity buys from farms and sells to towns.
• Example: a tomato-sauce unit buys farmers' tomatoes and sells sauce in cities.

• So its growth pulls up farm incomes as well.

• Why the traditional segment lags:

• Artisans work alone, with old tools and little credit.
• They have weak roads, power and market links.
• So they earn low income per hour worked (low productivity).

3. Agro-processing: the dynamic core

• Agro-processing industries turn raw farm produce into products that last longer or sell for more. Examples: milling, oil pressing, dairy products, pickles, jaggery.
• They are a dynamic, fast-growing part of the rural non-farm economy.
• Jaggery making is shown as an allied activity of farming (NCERT Fig. 5.2). Cane is crushed and boiled near the field.
• How it adds value (simple example):
• A farmer sells 100 kg of tomatoes at ₹10/kg and earns ₹1,000.
• A local unit turns them into sauce worth ₹2,500.

• The extra ₹1,500 of value added pays for rural wages, rural profits and packaging jobs.

• AMUL (1946, Anand, Gujarat) is the classic model (NCERT Class 6, Economic Activities Around Us).

• It is a dairy cooperative, a business owned and run by its member milk producers.
• Village societies collect milk and district unions process it. Profits go back to farmers.

• It shows how collective processing can give small producers a fair price.

• PMFME (Pradhan Mantri Formalisation of Micro food processing Enterprises), 2020:

• It is a centrally sponsored scheme, meaning the Centre and the states share the cost. It is run by the Ministry of Food Processing Industries under the Atmanirbhar Bharat Abhiyan [4].
• Outlay: ₹10,000 crore for 2020-21 to 2025-26. Target: support 2 lakh micro food processing enterprises [4].
• Aim: help small, unorganised units become more competitive and formal (registered, with bank access and brands) [4].
• Method: the One District One Product (ODOP) approach. Each district focuses on one product, so units get scale in buying inputs, common services and marketing [4].
• ODOP was approved for 707 districts in 35 States/UTs, covering 137 unique products [5].

4. Women and the rural economy

• Gender pattern (NCERT): most rural women work in agriculture, while men look for non-farm jobs. Women are now also moving into non-farm work.
• Feminisation of agriculture: as men migrate to towns for non-farm work, women become a growing share of farm workers. Often they work without owning the land.
• Official data:
• Agriculture employs the largest share of female workers, followed by manufacturing (PLFS Annual Report 2021-22) [8].
• Rural female LFPR rose from 24.6% (2017-18) to 47.6% (2023-24) [7].
• All-India female LFPR rose from 23.3% (2017-18) to 41.7% (2023-24) [7].

• Rural female participation was 45.9% in 2025 (PLFS Annual Report, January–December 2025) [10]. This report covers a calendar year, so compare it with the July–June figures carefully.

• Formula — Labour Force Participation Rate (LFPR):

• LFPR = (Employed + Unemployed but seeking work) ÷ Total population of that group × 100
• Worked example: a village has 1,000 women aged 15+. Of them, 420 work and 30 are looking for work. LFPR = (420 + 30) ÷ 1,000 × 100 = 45%.
• Trap: a higher LFPR alone does not show better jobs. Much of the rise is self-employment, including unpaid help in family farms.

5. TANWA — Tamil Nadu Women in Agriculture (NCERT Box 5.2)

• TANWA began in the late 1980s with DANIDA (Danish International Development Agency) assistance (verify).
• What it did: trained women in modern farm techniques and organic farming.
• Anthoniammal's Farm Women's Group, Tiruchirappalli:
• It makes and sells vermicompost, an organic manure made by earthworms eating farm and kitchen waste.

• It sells at a profit. This links women's work, organic farming and non-farm income.

• Farm women's groups as "mini-banks":

• Members save small amounts and give each other micro-credit (small loans with no collateral).
• These savings fund small businesses: mushroom cultivation, soap making, doll making and similar work.
• This is the same idea as today's Self-Help Groups (SHGs).

6. Current schemes for rural women

• PMFME (2020): supports micro food processing units under ODOP (see section 3). Many units are run by SHGs [4].
• MKSP (Mahila Kisan Sashaktikaran Pariyojana), 2011:
• It works under DAY-NRLM (Deendayal Antyodaya Yojana – National Rural Livelihoods Mission).

• It supports women farmers with skills and sustainable farming practices.

• Lakhpati Didi and Namo Drone Didi are covered with SHG finance in financial-inclusion-rural-credit.

• International Year of the Woman Farmer (IYWF) 2026:
• The UN General Assembly declared it [6].
• Slogan: "Empowered women, transforming agrifood systems" [6].
• FAO coordinates it together with IFAD and WFP, the Rome-based UN agencies [6].
• Focus areas: women's weak land tenure (legal rights over land), limited finance and technical help, and poor access to services and education [6].
• FAO estimate: closing the gender gap in agriculture could raise global GDP by USD 1 trillion and cut food insecurity for 45 million people [6].

7. IT as a tool for rural development (NCERT, "Other Alternate Livelihood Options")

• IT in agriculture means using information technology to:
• predict food insecurity, so the government can find areas at risk and act early
• share information on new technology, prices, weather and soil

• support sustainable development and create rural jobs, such as kiosk operators and data workers

• There is broad agreement that IT can be critical for sustainable development and food security.

• Key NCERT line: IT is "by itself, no catalyst of change."
• It is a tool that releases the knowledge already present in society.
• It works only if people have skills, power supply, connectivity and trust.

8. IT examples: from e-Choupal to AgriStack

Initiative	Year	What it does
ITC e-Choupal	2000	Private village internet kiosks. Farmers see prices and weather, and sell directly to ITC
Kisan Call Centres	2004	Toll-free phone advice for farmers in local languages
Soil Health Cards	2015	Card showing a plot's soil nutrients and suggested fertiliser doses
e-NAM	2016	Online national agri-market; see agri-marketing-msp-pds
Digital Agriculture Mission	2024	Digital public infrastructure for farming (details below)
Common Service Centres; agri-drones	—	Village e-service points; drones for spraying (verify current)

• Digital Agriculture Mission (DAM):
• Approved by the Cabinet on 2 September 2024, with an outlay of ₹2,817 crore, including a central share of ₹1,940 crore [2].
• Aim: give farmers timely and reliable crop information through farmer-centric digital solutions [3].

• It builds Digital Public Infrastructure (DPI), meaning shared digital systems that anyone can build services on, as UPI did for payments [3].

• AgriStack is a farmer-centric DPI with three foundational registries [3]: 1. Farmers' Registry, which gives each farmer a digital ID linked to their land 2. Geo-referenced village maps, which are land maps tied to GPS locations 3. Crop Sown Registry, which records which crop is grown on which plot each season

• These registries are created and maintained by State/UT governments [3].

• Why it matters: once the government knows who farms what and where, it can pay crop loans, insurance claims and scheme benefits faster.

• Krishi Decision Support System (Krishi-DSS) [3]:

• It joins remote-sensing data (satellite images) on crops, soil, weather and water into one geospatial system (a map-based data platform).

• This fits NCERT's idea of using IT to spot food-insecure areas early.

• DAM also includes a Comprehensive Soil Fertility & Profile Map [3].

Prelims Hooks

• NCERT calls the agro-processing segment the dynamic, fast-growing part of the rural non-farm economy. Pottery, crafts and handlooms form the traditional, low-productivity segment.
• TANWA is a Tamil Nadu programme that trained women in modern farming and organic farming. Anthoniammal's group (Tiruchirappalli) is its example of profitable vermicompost sales.
• NCERT: IT is "by itself, no catalyst of change". It is a tool that releases knowledge already present in society.
• AgriStack's three registries: Farmers' Registry, Geo-referenced village maps, Crop Sown Registry. They are made and kept by States/UTs, not the Centre [3].
• Digital Agriculture Mission: approved 2 September 2024. ₹2,817 crore total, of which the central share is ₹1,940 crore [2].
• PMFME: Ministry of Food Processing Industries, 2020-21 to 2025-26, ₹10,000 crore, 2 lakh micro units, ODOP approach [4].
• MKSP (2011) runs under DAY-NRLM (Ministry of Rural Development), not the Ministry of Agriculture. This is a common trap.
• 2026 is the International Year of the Woman Farmer. It was declared by the UNGA and is coordinated by FAO with IFAD and WFP [6].
• Chronology trap: e-Choupal (2000) → Kisan Call Centres (2004) → Soil Health Card (2015) → e-NAM (2016) → Digital Agriculture Mission (2024). e-Choupal is private (ITC), not a government scheme.
• LFPR = (employed + unemployed seeking work) ÷ population × 100. Rural female LFPR was 24.6% in 2017-18 and 47.6% in 2023-24 [7].

Mains Points

• Non-farm diversification is the way out of disguised unemployment:
• 57.7% of rural workers are still in farming (Q2 2025-26) [9].
• Agro-processing through PMFME and ODOP makes jobs close to farms and adds value at the village level [4][5].

• But the traditional crafts segment needs credit, infrastructure and market links, or it will stay low-productivity.

• Feminisation of agriculture is both a gain and a risk:

• The gain: rural female LFPR roughly doubled between 2017-18 and 2023-24 [7].
• The risk: women farm land they do not own. Without land titles they cannot easily get credit, insurance or scheme benefits.

• Policy link: SHG "mini-banks" (TANWA → DAY-NRLM, MKSP) and the IYWF 2026 focus on land tenure [6].

• IT is a tool, not a cure (NCERT):

• AgriStack and Krishi-DSS can target benefits and warn of food insecurity early [3].
• But gaps in digital literacy, connectivity and land records can leave out small, tenant and women farmers.

• Data privacy and consent must also be built in. Federal design matters too, because States/UTs maintain the registries [3].

• Cooperative and collective models (AMUL 1946, TANWA groups, FPOs) show that organisation, not only technology, raises rural incomes. They are useful for GS-III answers on inclusive growth and agri value chains.