Subscribe

Back

Who we are

With research staff from more than 70 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

researcher spotlight

Lilia Bliznashka

Lily Bliznashka is a Research Fellow in the Nutrition, Diets, and Health Unit. Her research focuses on assessing the effectiveness of multi-input nutrition-sensitive and nutrition-specific interventions and the mechanisms through which they work to improve maternal and child health and nutrition globally. She has worked in Burkina Faso, Burundi, Tanzania, and Uganda.

Back

What we do

Since 1975, IFPRI’s research has been informing policies and development programs to improve food security, nutrition, and livelihoods around the world.

Research topics

Projects and impact

Food Security Portal

Modeling tools

What’s new

Where we work

Back

Where we work

IFPRI currently has more than 480 employees working in over 70 countries with a wide range of local, national, and international partners.

IFPRI Regional Programs

IFPRI Country and Regional Offices

Research by country and region

Subscribe

partnerships

The Korea Rural Economic Institute (KREI) is a national policy research institute dedicated to the development of agriculture, rural areas, and the food industry as a means of helping to create agricultural policy. KREI creates solutions for new issues such as encouraging urban people to return to farming or rural areas, the improvement of the quality of rural life, and the growth of the food industry. KREI seeks to advance the development of sustainable agriculture and rural communities.

Homepage Link
donor-krei

Publications

Resource thumbnail

Report

Application of an analytical framework to hindcast crop yield in major crop production regions in Mozambique

2025Kim, Kwang Soo; Hyun, Shinwoo; Lee, Seok Ho
Details

Application of an analytical framework to hindcast crop yield in major crop production regions in Mozambique

Mozambique faces challenges in staple food crop production, which makes crop yield prediction vital for effective policy-making on food security. The analytic framework that integrates satellite data and crop growth simulations to forecast regional crop yield can aid policy makers. The objectives of this study were to apply the analytic framework to three major crop production regions in Mozambique including Gaza, Manica, and Nampula provinces for maize, soybean, and rice. The gridded crop growth simulations were performed using Decision Support System for Agrotechnology Transfer (DSSAT). A set of crop management scenarios were applied to the crop growth simulations. One of these simulations were identified to obtain crop yield hindcasts by cell comparing leaf area index data derived from the simulations and the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data. Crop yield hindcasts were obtained using a percentile of crop yield distribution using three preceding growing seasons. It was found that the percentile used for crop yield hindcasts differed by crop and province. The accuracy of maize and soybean yield hindcasts was within an acceptable range, e.g., < 20% of crop yield in growing seasons, whereas that of rice yield hindcasts was considerably high. Crop yield predictions were limited by the use of crop management scenarios such as cultivars and fertilizer application. Despite biases and limitations in representing real farming conditions, the framework provided insights into improving staple food crop production. It was also highlighted that detailed knowledge on crop management practices such as cultivar and fertilizer applications would improve the reliability of the analytic framework to predict crop yield in the major production regions in Mozambique.

Year published

2025

Authors

Kim, Kwang Soo; Hyun, Shinwoo; Lee, Seok Ho

Citation

Kim, Kwang Soo; Hyun, Shinwoo; and Lee, Seok Ho. 2025. Application of an analytical framework to hindcast crop yield in major crop production regions in Mozambique. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/178003

Country/Region

Mozambique

Keywords

Africa; Sub-saharan Africa; Southern Africa; Frameworks; Crop Yield; Farmland; Crop Production; Models; Decision-support Systems; Forecasting; Food Security

Language

English

Access/Licence

Open Access

Source

Source record

Project

Digital Innovation

Record type

Report

Resource thumbnail

Report

Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique – Groundtruthing data collection and stakeholder engagement report

2025Centre of Excellence in Agri-Food Systems and Nutrition
Details

Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique – Groundtruthing data collection and stakeholder engagement report

The Statistics from Space project (SFS) seeks to support the Government of Mozambique to produce and disseminate accurate crop production statistical data leveraging satellite remote-sensing data and artificial intelligence augmented analytics. The project, funded by the Government of the Republic of Korea (Ministry of Agriculture, Food and Rural Affairs; MAFRA), aims to provide the Mozambican Ministry of Agriculture and Rural Development with production estimates of major crops across three provinces namely Gaza, Manica and Zambezia in a sufficiently timely manner so that all market participants can use the information for decision-making. SFS is a three years project and has four main components: (1) Stakeholders engagement for impacts, led by International Food Policy Research Institute (IFPRI); (2) Enhanced area sampling frame led by ITC/University of Twente; (3) Digital collection of groundtruthing data, led by Centre of Excellence in Agri-Food Systems and Nutrition (CE-AFSN) at Eduardo Mondlane University; and (4)Analytical framework, led by Seoul National University (SNU). This Report is part of component 3 of the SFS project and has an overall objective to depict all activities carried out during the data collection process in the several districts of Gaza, Manica and Zambezia provinces which are the target regions of the project. The report also includes the methodology approach used since the interaction and involvement of local stakeholders. At the last sections, the report includes the main findings from the data collection process, challenges and constraints, lessons learnt and the next steps.

Year published

2025

Authors

Centre of Excellence in Agri-Food Systems and Nutrition

Citation

Centre of Excellence in Agri-Food Systems and Nutrition. 2025. Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique – Groundtruthing data collection and stakeholder engagement report. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/178008

Country/Region

Mozambique

Keywords

Africa; Sub-saharan Africa; Southern Africa; Data Collection; Stakeholders; Training

Language

English

Access/Licence

Open Access

Source

Source record

Project

Digital Innovation

Record type

Report

Resource thumbnail

Working Paper

Toward synergy in Mozambique’s agricultural production statistics: Complementarity between integrated agricultural survey and statistics from space approach

2025Manuel, Lourenço; Araujo da Silva, Jackelya; de By, Rolf; Benfica, Rui
Details

Toward synergy in Mozambique’s agricultural production statistics: Complementarity between integrated agricultural survey and statistics from space approach

Agricultural production data plays a critical role in economic development, especially for developing countries like Mozambique, as it informs more effective policymaking on agricultural investments, subsidies, and initiatives at local, national, and regional levels. Currently the Integrated Agricultural Survey (“Inquérito Agrário Integrado” – IAI) serves as the official source of agricultural information in Mozambique. It collects various types of data at farmers level, including estimates of crop cultivated areas, which is based on farmers self-reporting and the measurement of two farmers’ plot sizes in each enumeration area (EA). Although IAI employs rigorous methodologies, the accuracy of cultivated area estimates may be limited due to low literacy levels among farmers and the prevalence of intercropping production systems, which complicate the determination of the area occupied by each crop. In recent years, digital technologies and satellite remote-sensing methodologies have emerged as promising tools for estimating crop areas with greater precision and timeliness. In this paper, we advocate for the application of such methodologies – referred to here as “Statistic from Space (SFS)” – for crop area estimation. We use two data sources: IAI 2023, representing official government data collected by the Ministry of Agriculture in collaboration with the National Institute of Statistic (INE); and SFS data collected in 2025 under the “Statistics from Space” project. We conduct a simulation study using both sources of data and evaluate the performance of each approach using statistical metrics such as the range of confidence interval, margin of error, and the asymptotic relative efficiency of the SFS approach compared to its counterpart, the IAI. The results indicate that the SFS proposed in this paper outperforms the IAI across all performance measures. These findings suggest substantial complementarity and synergy between the SFS approach and IAI methodologies. We conclude that integrating the SFS approach into the planning and implementation of the IAI could significantly enhance the precision of the crop area estimates in Mozambique.

Year published

2025

Authors

Manuel, Lourenço; Araujo da Silva, Jackelya; de By, Rolf; Benfica, Rui

Citation

Manuel, Lourenço; Araujo da Silva, Jackelya; de By, Rolf; and Benfica, Rui. 2025. Toward synergy in Mozambique’s agricultural production statistics: Complementarity between integrated agricultural survey and statistics from space approach. CE-AFSN Working Paper 1. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/181300

Country/Region

Mozambique

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Agriculture; Agricultural Productivity; Statistics; Crop Monitoring; Crop Modelling

Language

English

Access/Licence

Open Access

Source

Source record

Record type

Working Paper