IRRI Reports

Permanent URI for this collectionhttps://hdl.handle.net/10568/155175

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Mapping of National Climate Change Policies and Stakeholders in Cambodia, Philippines, Thailand, and Viet Nam
(Report, 2025-01) Mirzabaev, Alisher; Gonzalez, Tobiah; Pajadan, Karen; Dohrmann, Christian; Sander, Bjoern Ole
This report is a compilation of the national policies, GHG emission reduction targets, identification of key stakeholders and of their roles, and decision-making structures governing climate change mitigation under the Nationally Determined Contributions (NDCs) in Cambodia, the Philippines, Thailand, and Viet Nam.
Spatial analysis and cost-benefit assessment of climate change adaptation in rice-based agrifood systems of select Asian Mega Deltas
(Report, 2025) Nelson, Katherine; Vu, Trang; Raviz, Jeny; Villano, Lorena; Laborte, Alice; Bich, Ngoc Vu Thi; Giles, James; Balanza, Jane Girly; Youngberg, Brayden; Rosenstock, Todd S.; Bhandari, Humnath; Nguyen, Tran Bao
The Asian Mega Deltas (AMDs) are critical regions for global food security, nutrition, and poverty alleviation, yet they face significant climate change vulnerabilities. This report assesses the climate-related risks affecting rice-based agrifood systems in the Mekong and Ganges Brahmaputra deltas, including flooding, heat stress, saline intrusion, and changing precipitation patterns. To address these challenges, the report outlines a comprehensive analytical framework for adaptation planning that encompasses policy reviews, climate-risk mapping, crop suitability analysis, vulnerability assessment, cost-benefit evaluation, and market analysis. Findings reveal that integrating climate-resilient practices, such as rice-watermelon and rice-fish systems, can enhance income and sustainability. The results also emphasize the need for robust and targeted investment in infrastructure and capacity building, as well as coordinated efforts among stakeholders, to develop effective adaptation strategies. By prioritizing resilience in agricultural practices, the AMDs can improve livelihoods and ensure long-term food security for their populations amid escalating climate risks. (The report will be available soon)
Land use mapping of selected sites in the Cambodia, Mekong Mega-Delta using high resolution satellite imagery
(Report, 2024-12-20) Villano, Lorena; Garcia, Cornelia; Rala, Arnel; Raviz, Jeny; Laborte, Alice
"Accurate land use classification plays a critical role in agricultural monitoring, resource management, and policy planning. Remote sensing, particularly the use of high-resolution multispectral imagery, has emerged as a powerful tool for mapping and assessing agricultural production systems with enhanced precision. In Cambodia, where rice farming dominates the landscape, understanding spatial variations in land use and cropping patterns is essential for improving agricultural productivity and sustainability. This study aims to classify land use and assess agricultural production systems in selected sites in Takeo and Prey Veng provinces, Cambodia, using high-resolution satellite imagery from Pleiades (0.5 m) and SPOT 7 (1.5 m). By integrating satellite-derived data with field-based validation techniques, this study seeks to improve classification accuracy and enhance our understanding of land use dynamics in these regions. The study employs Object-Based Image Analysis (OBIA) and a Support Vector Machine (SVM) classifier within the Orfeo Toolbox (OTB) in QGIS. This approach leverages spectral, textural, and spatial attributes to enhance classification accuracy while minimizing misclassification errors commonly associated with pixel-based methods. The classification results are further validated using ground truth data collected through field surveys and supplementary sources such as Google Earth and the RIICE project’s rice area maps. The findings provide insights into the spatial distribution of key land cover types, including rice fields, fallow croplands, built-up areas, and tree cover. Additionally, the study highlights challenges in differentiating specific land use classes due to spectral similarities and seasonal variations. The results contribute to improved land use planning and decision-making for agricultural development in Cambodia."
Vertically-bundled MRV system for climate change mitigation actions in rice cultivation, towards realising national climate goals
(Presentation, 2024) Trang, Vu Hong; Nelson, Katherine; Yen, Bui Tan; Cuong, Ong Quoc; Tran, Nguyen Bao
Rice production plays a crucial role in global food security and national economies, but also contributes significantly to the emission of greenhouse gases (GHG). In Southeast Asian countries, rice production is responsible for a larger amount of GHG emissions than livestock or other crops, and the highest share of Methane, a gas 28 times more potent than Carbon dioxide in global warming potential (https://cfpub.epa.gov/ghgdata/nonco2/). Governments have announced strong commitments to reduce emissions across sectors, reflected in their NDCs, Net-Zero targets, and the Methane Pledge. However, the share of countries that have quantified mitigation actions in the rice sector is significantly low, at 17 among the 164 nations that have submitted new and updated NDCs by November 2022 (Vu et al., 2022). Having an MRV system to structurally and consistently track GHG emissions from rice cultivation activities is essential for nations to determine baseline emissions and set achievable mitigation targets, as well as to monitor progress. It will also provide reliable evidence for policymaking and the verification of reductions for climate finance purposes. The case study from Vietnam presents a cost-effective MRV system for data collection, monitoring, and validation of GHG mitigation practices across different scales: field, province, region, and nation. Data is consistently collected and processed within and across vertically-bundled tools, which enables cross data validation. This system allows for multi-stakeholder contribution, aggregation, and use of data, including farmers, field extensionists, agricultural management officers, private companies, and development partners. Rice activity data is geo-referenced and linked with field measurement tools and a Tier-2 GHG calculator for automatic GHG calculation. Therefore, it offers a transparent and useful database for farmers, rice producers, policymakers, verifiers, and other stakeholders for tracking progress and decision-making while enabling traceability and labelling of low-emission rice products. This MRV model is adaptable to other countries to improve the transparency of climate change mitigation action planning and implementation towards their climate goals
FarMoRe – A tool for monitoring and reporting GHG mitigation results in rice production
(Presentation, 2024) Trang, Vu Hong; Nelson, Katherine; Yen, Bui Tan; Cuong, Ong Quoc; Tran, Nguyen Bao; Quyet, Vu Manh
Vietnam has made strong commitments to reduce Greenhouse gas (GHG) emissions. In its Nationally Determined Contributions, Vietnam has set ambitious targets of reducing 12.4 MtCO2e from agriculture with domestic resources and additional 50.9 MtCO2e with international support. Additionally, Vietnam has joined the Global Methane Pledge and committed to take actions to reduce methane emissions by 30% by 2030 compared to the 2020 levels. According to Vietnam’s Third Biennial Updated Report, the Agriculture, Forestry and Other Land Use (AFOLU) sector contributed to 62% of the country’s methane emissions in 2016. Rice cultivation was the largest methane source, responsible for 75% of CH4 emissions from the AFOLU sector. Therefore, the rice sector is a priority to achieve the nation’s mitigation targets. To achieve verifiable mitigation results in the rice sector, effective tools to track and validate GHG mitigation progress and outcomes are crucial. This requires monitoring rice farming activities at field levels to (1) estimate GHG emissions season to season, and (2) introduce interventions or improved low-emission practices properly. Farm household surveys are generally cost and labour intensive and thus not sustainable in the long run. The Farm Activity Morning and Reporting (FarMoRe) tool, developed by the International Rice Research Institute with support of IFAD-EU, offers a cost-effective solution. FarMoRe provides a standardized set of questions aligned with IPCC protocols for collecting data required for GHG calculations. The tool automates these calculations, presenting GHG emissions (kg CO2e/ha/season) immediately after data submission. Beyond emissions data, FarMoRe offers valuable insights into field management practices like seed rate, fertilizer use, and aeration periods – all factors influencing GHG emissions. The tool visualizes this data alongside scientific thresholds that could suggest potential for improvement. FarMoRe also stores farmers' seasonal GHG emissions data, enabling them to track progress and compare their performance with area averages. Recognizing the context-specific nature of farming, the tool allows users to set their own benchmarks for a more tailored approach. FarMoRe offers several benefits. It reduces the workload for data collection, calculation, and storage, saving time and resources for both farmers and researchers. The tool ensures reliable data for monitoring mitigation progress and outcomes. Additionally, FarMoRe data can be used to validate aggregated data collected from other sources and remote sensing technologies. The tool's scalability allows application across various farm sizes, from individual households to cooperatives and production units. FarMoRe has been tested in Can Tho city of Vietnam and received positive feedback on its usability. By streamlining data collection, analysis, and visualization, FarMoRe presents a valuable tool for large-scale rice GHG mitigation programs, such as the recently approved project of Developing 1 million hectares of high quality and low-emission rice associated with green growth in the Mekong Delta of Vietnam. This technology supports sustainable rice production practices and has the potential to contribute significantly to achieving Vietnam's environmental goals.
IRRI-DG’s visit of mechanized-DSR clusters and interaction with the stakeholders
(Report, 2024-12-03) Kumar, Virender; Kumar, Ashok; Mohapatra, Bidhan
A Quick Overview Dr. Yvonne Pinto, Director General of the International Rice Research Institute (IRRI), accompanied by Dr. Virender Kumar, Interim Research Director and Head of the Sustainable Impact Department, Research Leader for Climate-Resilient Farming Systems, and DSR-Odisha Project Lead, Dr. Sudhanshu Singh, Director of the IRRI South Asia Regional Centre (ISARC), and Dr. Ashok Kumar, Sr. Associate Scientist-II Program Coordinator, IRRI visited three mechanized direct seeded rice (mech-DSR) clusters viz. Danpur, Ramachandrapur, and Sujanapur villages in Delang block of Puri district in Odisha, India, on December 3, 2024. She interacted with demonstration farmers at the spot itself. At the Danpur cluster, in addition to the field visits and interactions with the concerned farmer Mr. Bikram Parida, Dr. Pinto visited stalls showcasing essential farm machinery including multi-crop planters fitted with inclined plate seed metering system for mech-DSR and other crops in sequence, power weeders, and sprayers, suitable herbicides, and IRRI-GoO-DSR-Odisha project publications and standees. Dr. Pinto also interacted with a wide range of stakeholders, including farmers, service providers, and strategic partners. Over 100 participants including 23 females from across 8- districts of Odisha (Bargarh, Bhadrak, Ganjam, Mayurbhanj, Puri, Khordha and Cuttack) attended the event, representing diverse groups such as farmers, service providers, agriculture officials, KVK scientist, NGO partners, private companies, project staff, and the media. This way she could get a quick feedback and updates on the project's interventions, impacts and insights. Two significant aspects of the event were: 1) an in-depth meeting with stakeholders, where Dr. Pinto engaged with farmers and strategic partners to discuss the challenges, benefits, and future opportunities related to mech-DSR based systems in Odisha, and 2) the stakeholders' expectations and keen interest in hearing Dr. Pinto’s vision for agricultural development, particularly regarding the mechanized DSR-based system in Odisha.
Report on National Workshop
(Report, 2024-11) Ali, A M M Mostafa; Rahman, Md. Mostafizur; Saha, Champa Rani; Rahman, Syed Arman Akib; Haque, Md. Ehsanul; Nisha, Nusrath Jahan; Chitra, Naima Noshin; Ahmad, Salahuddin
Due to low-lying and flat topography in the coastal region, Bangladesh is one of the top 10 nations that are mostly vulnerable to climate change and is subjected to riverine flooding (due to sea level rise), frequent cyclones, storm surge, heavy rainfall, tornados, river bank erosion, salinity, high population density, high level of poverty, and solely reliance of livelihoods on climate-sensitive sectors. Thus, climate change addresses a new depressing effect on coastal agriculture since agriculture in Bangladesh is highly sensitive to climate variability as crops require sustained ambient temperature for their growth, and abrupt heat or cold waves hamper productivity. However, to ameliorate such predicaments, the adoption of climate-smart agricultural practices and technologies is needed to ensure participatory planning and development. Adaptation planning is crucial to ensure the overall productivity of agriculture against climate change events. This project is an initiative to collect data and generate information for adaptation planning in the coastal region of Bangladesh.
Development of climate-smart maps and adaptation plans for the coastal agriculture in Bangladesh
(Report, 2024-03) Ali, A M M Mostafa; Rahman, Md. Mostafizur; Saha, Champa Rani; Rahman, Syed Arman Akib; Haque, Md. Ehsanul; Nisha, Nusrath Jahan; Hosen, Md. Motaleb; Yen, Bui Tan; Nelson, Katherine; Vu, Trang; Vu, Quiet; Tran, Nguyen Bao; Salahuddin, Ahmad
As Bangladesh is predominantly an agricultural country, importance of land and water resources is immense. Land is the basic natural resource from which we derive all ingredients to satisfy our basic needs such as food, raw materials for industrial goods, articles of general use, medicine etc. The gross total area of the country is about 14.8 million hectares (Mha) of which 8.4 million is the net cultivablearea (NCA). Half of the total agricultural land is utilized for double cropping while 13% land is utilized for triple cropping. Bangladesh is one of the top 10 nations that are mostly vulnerable to climate change due to its low-lying and flat topography in coastal region, subjected to riverine flooding (due to sea level rise), frequent cyclones, storm surge, heavy rainfall, tornados, river bank erosion, salinity, high population density, high level of poverty, and solely reliance of livelihoods on climate-sensitive sectors. Thus, climate change addresses a new depressing effect to coastal agriculture since agriculture in Bangladesh is highly sensitive to climate variability as crop require sustained ambient temperature for their growth, and abrupt heat or cold waves hamper productivity. Disease outbreak are also highly sensitive to temperature and moisture content and severity varies across regions. Climate change reduces crop production and might increase food insecurity in Bangladesh. Considering the adverse effects of climate change on agriculture, it can be said that production of crop is a substantial challenge in producing enough food in Bangladesh. However, to ameliorate such predicaments, adoption of climate smart agricultural practices and technologies are needed to ensure participatory planning and development. Adaptation planning is crucial to ensure overall productivity of agriculture against climate change events. This requires enough data on base condition such as agricultural land, cropping system, major crops, disasters, topography; climate risk maps, cost benefit study for adaptive alternative, climatic future trends etc which should be accompanied by successful participatory approach. This project is such an initiative to collect data and generate information for adaptation planning in coastal region of Bangladesh
Remote sensing applications for rice production monitoring in Senegal 2024
(Report, 2024-12-23) Murugesan, Deiveegan; Quicho, Emma; Mathieu, Renaud; Faye, Omar Ndaw; Kane, Babacar; Sall, Moussa; Gatti, Luca; Holecz, Francesco
Rice is a fundamental staple food in Senegal and many parts of West Africa, where it holds significant cultural, economic, and food security importance. Despite its vital role in the nation’s di and agricultural landscape, rice cultivation in Senegal has struggled to keep pace with rising consumption, and the country has imported most of the rice it consumes for many years. Most rice production occurs in the Senegal River Valley (SRV) in the northern region, where it is cultivated under intensive, irrigated systems. The Casamance region in the south mainly relies on rainfed rice farming. To achieve the goal of self-sufficiency, reduce imports, and encourage economic grow Senegal is taking many interventions to improve their rice production, while monitoring rice area and production estimates is crucial for designing/targeting interventions and for making sound policy decisions. As part of the ‘CGIAR Initiative: Digital Innovation’, IRRI is developing a digital platform for rice production monitoring for Senegal, with sarmap, Switzerland, and the Institut Sénégalais de Recherches Agricoles (ISRA). The goal is that the tool can be transferred to and implemented in Senegal Institutions to ensure long-term monitoring of rice crop production. The team first selected the SRV and irrigated lands for the pilot initiated in 2023 and extended the pil in the rainfed region of Casamance in the 2024 wet season. This report presents the activities and results of the development of the platform, including rice areas and yield, across Senegal during 2023-24 using the remote sensing-based Information and Insurance for Crops in Emerging Economies (RIICE) technologies.
Spatial Market Segmentation: A data-driven approach to identifying priority rice market segments in the Philippines
(Poster, 2024-10) Paguirigan, Neale Marvin; Maunahan, Aileen; Laborte, Alice
Market segmentation is essential for developing agricultural products that meet the diverse needs of farmers and consumers. Understanding the geographical distribution of these market segments can support the development of well-targeted and demand-driven breeding products. This study demonstrates how spatial market segmentation can be applied to map and identify priority rice market segments at the subnational level, using the Philippines as a case study. We identified spatially-referenced data to represent key market segment criteria for rice including ecosystem (whether irrigated or rainfed), planting method (transplanted or direct seeded), crop maturity (early, medium, late), and grain quality (texture and grain length). These were overlaid with rice area statistics resulting in a map of distinct rice market segments. To further characterize the segments, we linked these to spatially-referenced indicators such as rice area, population density, and poverty level. This data-driven approach supports the identification of priority market segments, enabling breeding programs to optimize resource distribution and develop more impactful innovations tailored to local market needs. This method offers a framework for other crops and regions, providing a strategic basis for enhancing the effectiveness of breeding efforts.
Evaluating multidimensional digital inclusiveness of rice crop manager digital tool: insights from Odisha, India
(Report, 2024-10-12) Singaraju, Niyati; Gakhar, Shalini; Bharti, Preeti; Anjana, V; Mendoza, Jared Jorim
This report evaluates the inclusiveness and impact of the Rice Crop Manager (RCM) tool in Odisha, India, using the Multidimensional Digital Inclusiveness Index (MDII). Based on a survey conducted across three villages, it explores farmers’ socio-demographic profiles, digital access, and perceptions of the tool’s usability, accessibility, and effectiveness. Findings reveal widespread smartphone ownership but highlight challenges in internet connectivity and digital literacy, with women and educationally underserved users reporting greater barriers. The RCM tool has positively influenced farming decisions and digital skill development, though gaps persist in training accessibility and support mechanisms. Respondents identified additional needs for features like pest management and weather updates. Gender disparities, connectivity issues, and limited co-creation processes emerged as key concerns. The report recommends expanding training programs, improving infrastructure, addressing gender gaps, and fostering user inclusion to enhance the tool’s relevance and sustainability in promoting digital agriculture.
Evaluating Multidimensional Digital Inclusiveness of Rice Crop Manager Digital Tool: Insights from Indonesia
(Report, 2024-10-12) Singaraju, Niyati; Gakhar, Shalini; Jardinero, Benedict; Pagianti, Tri Selasa; Mendoza, Jared Jorim; Anjana, V
This study evaluates the multidimensional digital inclusiveness of the Rice Crop Manager (RCM) tool, locally known as Layanan Konsultasi Padi (LKP), in East Java and Yogyakarta, Indonesia. The RCM tool aims to optimize rice farming practices through personalized, data- driven recommendations. Using the MDII framework, the research assesses accessibility, effectiveness, ecosystem support, and impact, based on socio-demographic profiles, digital access, and user perceptions. Findings reveal high land ownership (98%) and smartphone adoption (90%), with significant confidence in the tool’s compatibility and agricultural relevance. However, gaps in digital literacy among older and less-educated farmers, limited mobile internet access (25%), and regional disparities in adoption were identified. Inclusivity concerns persist, with only 68% believing the tool is accessible to marginalized groups. The report highlights the RCM's potential to enhance farming practices but calls for targeted interventions in digital skills, infrastructure, and inclusivity to maximize its impact and adoption
Stakeholder consultation workshop on leveraging digital solutions in agricultural extension: Pathways to inclusive and sustainable farming
(Report, 2024-11-30) Gakhar, Shalini; Singaraju, Niyati; Bharti, Preeti; Patwar, Shelly; Nagaraji, Satish; Kiragi, Pratibha; Maria, Sherin
The Stakeholder Consultation Workshop on Leveraging Digital Solutions in Agricultural Extension: Pathways to Inclusive and Sustainable Farming was co-organized by the International Rice Research Institute (IRRI) and the International Maize and Wheat Improvement Center (CIMMYT) on November 29 and 30, 2024, at Mayfair Lagoon, Bhubaneswar, Odisha. The workshop was part of CGIAR’s Digital Innovation initiative, which aims to coordinate digital research across various research centers and institutions to foster collaboration, synergy, and an inclusive, holistic, and impactful approach to agricultural digital innovation. Agricultural extension plays a crucial role in equipping farmers with practical knowledge, technologies, and techniques to enhance productivity and sustainability. Emerging digital technologies, such as artificial intelligence (AI), are rapidly evolving and providing farmers with personalized, real-time insights and predictive analytics to improve efficiency, resource management, and climate resilience. Governments, international organizations, and the private sector are increasingly focused on harnessing AI and other digital innovations to create inclusive, efficient, and sustainable agricultural extension systems.
Stakeholder engagement for south-south collaboration on improved rice cultivation using geospatial sciences
(Report, 2024-11-15) Gakhar, Shalini; Mathieu, Renaud; Patwar, Shelly; Jardinero, Benedict; Sahoo, Rabi N.; Chinnusamy, Viswanathan
Stakeholder Engagement for South-South Collaboration on Improved Rice Cultivation Using Geospatial Sciences was organized on November 14 and 15 in Mwea, Kenya. The CGIAR Initiative on Digital Innovation (DI) focuses on enabling digital innovations to stimulate the inclusive and sustainable transformation of food, land, and water systems. This includes investments that policymakers could make to close the digital divide, information delivery systems that allow more people to take action against predicted risks, and ways for partner organizations and marginalized communities to enhance digital capabilities, access resources, and seize opportunities. India has the largest area under rice cultivation in the world, covering 44.6 million hectares, and is second only to China in terms of rice production. Rice is the staple food for 65 percent of India's total population and plays a crucial role in the country's economy as a leading rice exporter.
“Remote sensing based Information and Insurance for Crops in emerging economies” (RIICE) in Kenya
(Report, 2024-01-10) Mathieu, Renaud; Satapathy, Sushree; Raviz, Jeny; Wafula, Kelvin; Koskei, Vincent; Mwende, Faith; Aleri, David; Cattaneo, Alessandro; Gatti, Luca; Holecz, Francesco
The CGIAR Research Initiative on Digital Innovation and Transformation (WP4) seeks to improve real time monitoring of food system dynamics to inform multiple stakeholders who make time critical decisions to respond to variation and shocks, improve the flow of information for a better understanding of the food systems, and enhance digital data streams for improving decision making by food system actors. To this end, the International Rice Research Institute (IRRI) in partnership with sarmap, Switzerland, the National Irrigation Authority, and the Rice Promotion Program (Ministry of Agriculture), Kenya, is piloting a digital rice production monitoring platform. The platform RIICE (www.riice.org) is a remote sensing-based digital platform that delivers near real time, geolocalized, accurate, and updated seasonal information on rice area, yield, planting dates, and climate-driven yield losses. Initially, the rice production was monitored for the short rain season of 2023 in the Mwea irrigation scheme and will be extended to the off season in 2024, as well as to the other main rice irrigation schemes in the country. A Stakeholders Engagement meeting was organized in Nairobi for presenting and discussing the customization of the RIICE platform for Kenya. This report covers activities conducted and outputs generated for 2023 short rain season.
Digital mapping for inclusive rights on forest land and resources by Pradan in Odisha
(Report, 2024) Niranjan, Alagu D.; Dominic, Ditty Maria; Mittal, Nimisha; Sulaiman, Rasheed V.; Malhotra, Aayushi; Singaraju, Niyati; Sharma, Sheetal
Securing the rights of forest dwellers on forest land and resources is crucial for their livelihood development as well as for forest protection, conservation and climate benefits. However, for decades, forest-dwelling communities have been struggling to secure their rights on forest land and resources, the absence of which is preventing them from securing the various benefits offered by government schemes in terms of education, healthcare, and agricultural development. Recognising these issues, the Scheduled Tribes and Other Traditional Forest Dwellers Recognition of Forest Rights Act, 2006, commonly known as the Forest Rights Act (FRA) was passed by the Government of India. This Act enabled the forest dwellers to claim their customary and traditional rights on forest land and resources through Individual Forest Rights (IFR), Community Rights (CR), and Community Forest Resources Rights (CFRR). However, the intricacies involved in the claim-making process posed a major challenge for these marginalized communities. In this context, PRADAN, one of India’s leading NGOs, has been facilitating the forest rights-claiming process in Odisha, Jharkhand and Chhattisgarh. Over the years, PRADAN has achieved a major breakthrough by getting the claims accepted by the government using a digital mapping tool. This Good Practice Note describes how PRADAN is assisting in digital land mapping and documentation to expedite the claim process under the Forest Rights Act-2006 in Rayagada, Odisha, thereby ensuring the digital inclusion of forest dwelling communities (Forest Dwelling Scheduled Tribes [FDSTs] and Other Traditional Forest Dwellers [OTFDs]) in forest areas.
Remote sensing applications for rice mapping and yield estimation in the Senegal River Valley (SRV) of Senegal
(Report, 2024-01-31) Mathieu, Renaud; Murugesan, Deiveegan; Quicho, Emma; Faye, Omar Ndaw; Sall, Moussa; Gatti, Luca; Holec, Francesco
Rice is a vital and staple food in Senegal, as it is for the whole of West Africa, and yet cultivation is still limited while consumption is continuously increasing. Rice mainly grows in the Senegal River Valley (SRV) (northern part) in highly intensive systems under irrigated conditions and in Casamance region (southern part) mainly under rainfed systems. Despite rice having a crucial role to play in the nation’s economy, culture and food security, Senegal has for many years imported most of the rice it consumes. To achieve the goal of self-sufficiency and encourage economic growth, Senegal is taking many interventions to improve their rice production while monitoring rice area and production estimates is crucial for designing/targeting interventions and for making sound policy decisions. This initiative aims to develop a digital rice monitoring platform in Senegal based on near-real-time satellite data to support national policies, food security, and market management, as well as to facilitate farmers’ resilience through the development of insurance and microfinance products. This report presents the preliminary results of mapping rice areas across the Senegal River Valley during dry and wet seasons of 2023 using the Remote sensing-based Information and Insurance for Crops in emerging Economies (RIICE) platform in collaboration with sarmap, Switzerland, the Institut Sénégalais de Recherches Agricoles (ISRA), and local partners.
ICTforAg India 2024: Localizing impact through inclusion, inspiration, and innovation
(Report, 2024-05) Gakhar, Shalini; Patwar, Shelly; Rupavatharam, Srikanth
The digital landscape in Eastern India: Findings from the digital needs assessment surveys from Bihar and Odisha, India
(Report, 2024-12-11) Adeeth Cariappa, Ajjikuttira Girish; Khed, Vijayalaxmi; Singaraju, Niyati; Gartaula, Hom N.
This report examines the digital landscape in the Eastern Indian states of Bihar and Odisha, focusing on disparities in digital access, literacy, and technology utilization. Using gender-disaggregated data from 1,034 households, the findings reveal significant gender, social, and regional inequities. Women, especially from marginalized communities, face reduced access to digital devices, limited operational skills, and low internet usage for agricultural needs. Key barriers include high device costs, limited digital literacy, and inadequate local-language content. Despite challenges, a strong demand for digital skills training emerges, particularly among women and younger populations. The current utilization of mobile internet primarily revolves around communication and entertainment, with minimal use for agriculture-related activities. The report underscores the necessity for tailored digital literacy programs, localized content, and affordable technology to bridge these divides. Addressing these gaps can enhance the adoption of digital tools, fostering inclusive growth and improved agricultural outcomes in the region.
Beyond Blanket Estimation: Profiling Vegetatively Propagated Crop Seed Users for Inclusive Delivery System in Uganda. A Report on the VPC study
(Report, 2024-12) Mayanja, S.; Yila, J.; Bomuhangi, A.; Ssali, R.T.; Nakitto, M.; Ahimbisibwe, P.; Ogwal, M.; Bayiyana, I.; Iragaba, A.; Asasira, M.; Namuddu, Mary Gorreth; Kisakye, S.; Tinyiro, S.E.; Rajendran, S.

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