Agriculture and Food Security Research Topics

Agriculture · Food security · Agricultural economics

50 agriculture and food security research topics across hunger, food access, climate, adoption, inputs, yields, markets, consumers, farm policy and farm labour. Each one comes with a study design, a method, a free dataset and a real thesis on something similar.

50Research questions
10Sub-fields
13Free datasets
5Universities cited
2018 to 2026Thesis years

By Siddharth Gupta · Updated November 2026

Most agriculture students plan a farmer survey or a one-season field trial for their dissertation. Then the weather or the sample size lets them down.

In my 12 years of helping economics and science students, the strongest agriculture dissertations used public yield, price and household data. These datasets cover decades and whole countries.

Every topic below comes with three things.

  • A study design that fits the question
  • The method your supervisor will expect
  • A suggested dataset with its access requirements

Each topic is also paired with a real agriculture, food or nutrition thesis from a university repository. Many study the same crop, input or policy.

How to use this list

  1. Pick the area that matches your course, crop or country.
  2. Choose two or three topics that fit your skills.
  3. Open the dataset and check it covers your region and years.
  4. Read the sample thesis. Look at which model it used.
  5. Take your shortlist to your supervisor, or to me on a free call.
Agriculture research area 01 / 10

Food security and hunger

Food security topics matter in every country. These use national food security surveys and early warning data.

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Agriculture research area 02 / 10

Food access and local food systems

Food access topics map where healthy food is hard to reach. The Food Access Research Atlas covers every US census tract.

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Agriculture research area 03 / 10

Climate change and agriculture

Climate topics are the fastest-growing area in agricultural research. These link weather and emissions data to farm outcomes.

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Agriculture research area 04 / 10

Technology adoption on farms

Adoption topics ask why some farmers try new methods and others do not. They suit agricultural economics students.

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Agriculture research area 05 / 10

Water, fertiliser and farm inputs

Input topics link farm decisions to cost and the environment. These use national input and irrigation data.

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Agriculture research area 06 / 10

Crop production and yields

Yield topics suit students with agronomy or data science skills. County and country yield data go back decades.

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Agriculture research area 07 / 10

Agricultural markets, prices and trade

Market topics suit economics students. Commodity data is free, long and monthly.

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Agriculture research area 08 / 10

Consumers, GM crops and food choice

Consumer topics link farms to plates. National surveys show how people judge new food technology.

TOPIC 38

Did GM maize adoption change South African yield growth?

Study design
Country panel
Statistical method
Synthetic control with neighbouring countries
Suggested datasets
FAOSTAT Open
Related thesis: Economic and Ecosystem Impacts of GM Maize in South AfricaKristiina Ala-Kokko · University of Arkansas · 2021 · Related research example
TOPIC 39

Is rice consumption per person rising in Latin America?

Study design
Country panel
Statistical method
Trend analysis of food balance sheets
Suggested datasets
FAOSTAT Open
Related thesis: Consumer Valuation of Rice Quality in ColombiaJuliann Phillips · University of Arkansas · 2023 · Related research example

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Agriculture research area 09 / 10

Farm finance, risk and policy

Policy topics study who gets support and who carries risk. Farm data is public at county level.

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Agriculture research area 10 / 10

Nutrition, farm labour and health

Agriculture shapes health through diets, jobs and chemicals. These topics link farm and food data to people.

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Free agriculture and food security datasets

Open sources are available without an account. Free login requires an account. Apply means access requires approval.

FAOSTAT Open

Crop production, yields, prices, trade, fertiliser, pesticide and emissions data for every country since 1961. Use it for global agriculture, trade and food supply topics.

ICRISAT District Level Database (India)

Crop area, yield, irrigation, fertiliser and rainfall for Indian districts since 1966. Use it for Indian agriculture, drought and input use topics.

DHS Program Data, with NFHS India Apply

Household surveys in 90+ countries with child nutrition, women’s decision making and farm household data. Use it for nutrition, gender and rural household topics.

USDA NASS Quick Stats Open

US crop yields, prices, land values, irrigation, labour and Census of Agriculture data by county. Use it for US farm production, adoption and policy topics.

USDA Food Access Research Atlas Open

Census tract data on distance to supermarkets, income and vehicle access. Use it for food desert and food access topics.

World Bank LSMS Surveys

Household and farm plot surveys in Africa, Asia and Central Asia with crops, inputs and income. Use it for smallholder adoption, market and poverty topics.

FEWS NET Food Security Data Open

Food insecurity classifications and staple food prices for about 30 food-insecure countries. Use it for famine risk, food crisis and market price topics.

FRED Open

Global commodity prices, fertiliser prices, food spending and farm debt series. Use it for price, spending and farm finance topics.

World Bank WDI Open

Country data on agricultural jobs, land, yields, rural poverty and undernourishment. Use it for cross-country agriculture and development topics.

USDA WASDE Reports Open

Monthly world supply and demand estimates for grains, oilseeds and livestock. Use it for commodity market and price forecasting topics.

Pew Research Center Datasets

US surveys on science and food, including views on GM foods and gene editing. Use it for consumer attitudes to food technology topics.

Printable agriculture dissertation guide

Get all 50 topics in one PDF

The guide will bring together the questions, study designs, methods and dataset links.

PDF download coming soon

How to turn one of these into your own topic

  1. Pick one outcome. Yield, price, adoption or food security works better than several.
  2. Add weather data. Rainfall and temperature explain a lot of farm outcomes.
  3. Use fixed effects for panels. They remove soil and location differences.
  4. Check units carefully. Tonnes, bushels and hectares mix easily.
  5. End with policy advice. Agriculture examiners expect a clear message for farmers or governments.

Related topic lists

Need a second pair of eyes?

Choose an agriculture research question your data can answer.

Bring your shortlist, potential datasets and proposed analytical methods to a free 15-minute consultation about scope, feasibility and methodology.

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Popular questions

What is a good agriculture research topic?

A good topic asks one clear question about yields, adoption, prices or food security and uses data you can download. Climate change, cover crops and food access are popular starting points.

Can I do an agriculture dissertation without field trials?

Yes. Every topic on this list uses public farm, food or household data. You can answer real policy questions without a single plot.

Which statistical methods are used in agricultural research?

Regression, panel fixed effects, logistic regression, propensity score matching, price transmission models and spatial analysis are the most common.

Where can I find free agriculture data?

FAOSTAT, USDA NASS, the ERS food security data, the Food Access Research Atlas, CHIRPS, FEWS NET and WASDE are free. ICRISAT and LSMS need a free sign-up.

Is there Indian agriculture data for my dissertation?

Yes. The ICRISAT District Level Database covers Indian districts since 1966. NFHS data through the DHS Program covers nutrition and households.

Is there an agriculture topics PDF?

The printable Topic and Method list is coming soon. All 50 questions, methods and dataset links are available on this page.

Perfect for students, researchers, and professionals looking to build real statistical skills.