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An RTB innovation: Disease mapping and surveillance made easier through AI-powered app and drone/satellite image analysis
November 20, 2020

Disease surveillance and mapping have, for a long time, heavily relied on in-person field surveys by knowledgeable staff. However, this approach has been limited by its high cost, often limited human capacity, and difficulty accessing more remote locations. In addition, the inability of farmers and sometimes local extension staff to rightly identify and or differentiate between the different biotic constraints has often hampered timely intervention efforts. 

Scientists from the Alliance of Bioversity International and CIAT have developed an Artificial intelligence (AI)-powered smartphone app called Tumaini, meaning “hope” in Swahili. The app is capable of identifying and differentiating symptoms of six banana diseases: Banana Xanthomas Wilt (BXW), Banana Bunchy Top Disease (BBTD), Fusarium wilt, Banana Blood Disease, Black leaf streak, and other leaf streaks; and a pest (banana weevil).  

Tumaini smartphone app (v2.0; online and soon offline version) – 6 diseases and 1 pest.
Tumaini smartphone app (v2.0; online and soon offline version) – 6 diseases and 1 pest.

The app and the full offline version are freely available on Google Play Store and are currently downloadable. So far, the app has over 2000 downloads, and further scaling of the app, envisaged in collaboration with extension and development agencies, will effectively support the management of these key biotic constraints on-farm. 

A recent paper, building on fieldwork carried out in Eastern Democratic Republic of Congo and the Benin Republic, has shown that banana fields and production zones can be mapped through both drone and satellite image analysis. In addition, algorithms have also been developed to detect BXW- and BBTD-infected plants on drone images. These outputs will contribute to banana production zone and health status mapping.  

Drone image of plantain/banana fields in Benin Republic, West Africa.
Drone image of plantain/banana fields in Benin Republic, West Africa.

Data collected through the app and obtained from drone/satellite image analysis will feed into a surveillance and mapping platform. This will create an early warning system and advise research and extension bodies and National plant protection organizations (NPPOs) of ongoing disease spread, linked risks, and priority zones for surveillance.

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Olaosebikan, Olamide

Olamide Deborah Nwanze is a Senior Research Associate specializing in gender mainstreaming research to inform participatory and inclusive breeding, variety development, and seed systems policies regarding root, tuber, and banana (RTB) crops in the International Institute of Tropical Agriculture Headquarters, Ibadan, Nigeria. She is a PhD candidate at the University of Ibadan and holds an MSc and B. Agric in Agricultural Extension and Rural Development. Olamide is a fellow of the African Women in Agricultural Research and Development – Gender Responsive Agricultural Systems Policy (AWARD-GRASP) and the Gender Responsive Researchers Equipped for Agricultural Transformation (GREAT). She seeks to apply her gender-mainstreaming learnings, gender-responsive research, and policy development, and review expertise to facilitate women, youth, children, and vulnerable social group’s access to and adoption of agricultural Innovations that guarantee food, nutrition, income, and livelihood security in Africa. Her current roles include mentoring research fellows, development of guides and training manuals, implementation and adaptation of gender frameworks and tools, value chain actors’ engagement as citizen science partners, policy review and redesign, data management, and analysis. Her current research explores mixed methods and participatory and interdisciplinary approaches to capture and highlight gender dynamics, needs, preferences, and challenges stakeholders face within the agricultural livelihood value chain to prioritize gender-inclusive strategies in breeding programs, policy design, and implementation.

At IITA, she contributes to the implementation of the CGIAR Accelerated Breeding Initiative and Genetic Innovation Programs; participatory and gender research within the NextGen Cassava, HarvestPlus, RTBFoods, and Tricot-ClimMob 1000Farms Projects; and gender knowledge communication via the G-LENS webinar series, video documentary, policy briefs, publications, and blogs.

 

Recent publications

de Sousa, K., van Etten, J., Manners, R. Bello, A., Teeken, B., Olaosebikan, O., et al. 2024. The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective. Agron. Sustain. Dev. 44, 8. https://doi.org/10.1007/s13593-023-00937-1

Madu, T., Onwuka, S., Nwafor, S., Onyemauwa, N., Ejechi, M., Ofoeze, M., Ukeje, B., Eluagu, C., Olaosebikan, O., Okoye, B., 2024. Gender-Inclusive Consumer Studies Improve Cassava Breeding in Nigeria in: Frontiers in Sociology, volume 9, number: 1224504, doi: 10.3389/fsoc.2024.1224504

Olaosebikan, O.; Bello, A.; Utoblo, O.; Okoye, B.; Olutegbe, N.; Garner, E.; Teeken, B.; Bryan, E.; Forsythe, L.; Cole, S.; Madu, T. 2023.  Stressors and Resilience within the Cassava Value Chain in Nigeria: Preferred Cassava Variety Traits and Response Strategies of Men and Women to Inform Breeding. Sustainability 15, 7837. https://doi.org/10.3390/su15107837

Okoye, B., Ofoeze, M., Ejechi, M., Onwuka, S., Nwafor, S., Onyemauwa, N., Ukeje, B., Eluagu, C., Obidiegwu, J.*, Olaosebikan, O., Madu, T.* 2023. Prioritizing preferred traits in the yam value chain in Nigeria: a gender situation analysis in: Frontiers in Sociology, volume 8, number: 1232626, pages 1 – 9, ISSN 2297-7775, 2023. https://www.frontiersin.org/articles/10.3389/fsoc.2023.1232626/full

Olaosebikan, O., Bello, A. A., de Sousa, K., Ndjouenkeu, R., Adesokan, M., Alamu, E. O., Agbona, A., van Etten, J., Kegah, F. N.*, Dufour, D., Bouniol, A., Teeken, B. 2023. Consumer acceptability of cassava gari-eba food products across cultural and environmental settings using the triadic comparison of technologies approach (tricot) in: Journal of the Science of Food and Agriculture,

Teeken, B., Olaosebikan, O., Bello, A. A., Madu, T.*, Cole, S. M. 2023. Qualitative assessment on the positionality and preferences of dyads in relation to cassava-related activities: working with tricot trial citizen scientists https://hdl.handle.net/10568/138326 Type: Manual

Bouniol, A., Ceballos, H., Bello, A. A., Teeken, B., Olaosebikan, O., Owoade, D., Agbona, A., Fotso Kuate, A., Madu, T.*, Okoye, B.*, Ofoeze, M.*, Nwafor, S.*, Onyemauwa, N.*, Adinsi, L.*, Forsythe, L., Dufour, D. 2023. Varietal impact on women’s labour, workload and related drudgery in processing root, tuber and banana crops: focus on cassava in sub-Saharan Africa in: Journal of the Science of Food and Agriculture, pages 1 – 25, ISSN 0022-5142,

Bello, A. A., Agbona, A., Olaosebikan, O., Edughaen, G., Dufour, D., Bouniol, A., Iluebbey, P., Ndjouenkeu, R.*, Rabbi, I. Y., Teeken, B. 2023. Genetic and environmental effects on processing productivity and food product yield: drudgery of women’s work in: Journal of the Science of Food and Agriculture, pages 1 – 32, ISSN 0022-5142, 5

Cavicchioli, M., Zimbiti, T., Teeken, B., Nwanze, D.O., Liani, M., Parkes, E. & Bello, A. 2023. IITA-Gender Responsive Breeding Training Report. Genetic Resources Center, IITA-HQ, Ibadan, 21-23 September, 2022. Ibadan, Nigeria: IITA, (34 p.).https://hdl.handle.net/10568/131368

Agbona, A. Peteti P., Teeken B., Olaosebikan O. Bello, A. A., Parkes, E., Rabbi, I. Y., Mueller, L., Egesi, C., Kulakow, P. 2022. Data Management in Multi-disciplinary African RTB Crop Breeding Programs. In: Williamson, H.F., Leonelli, S. (eds) Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development. Springer, Cham. https://doi.org/10.1007/978-3-031-13276-6_5

Lora Forsythe, Pricilla Marimo, Sarah Mayanja, Olamide D. Olaosebikan, Esme Stuart, Bela Teeken, Benjamin Okoye, Tessy Madu, (2021). Cross-product Gender Analysis of RTBfoods Step 2 Gendered Food Mapping on RTB Products. Understanding the Drivers of Trait Preferences and the Development of Multi-user RTB Product Profiles, WP1. London, UK: RTBfoods Field Scientific Report, 30 p.

Teeken, B., Garner, E., Agbona, A., Balogun, I., Olaosebikan, O., Bello, A., Madu, T., Okoye, B., Egesi, C., Kulakow, P. and Tufan, H.A. 2021. Beyond “Women’s Traits”: Exploring How Gender, Social Difference, and Household Characteristics Influence Trait Preferences. Frontiers Sustainable Food Systems 5:740926. https://doi.org/10.3389/fsufs.2021.740926

Teeken, B., Agbona, A., Bello, A., Olaosebikan, O., Alamu, E., Adesokan, M., Awoyale, W., Madu, T., Okoye, B., Chijioke, U., Owoade, D., Okoro, M., Bouniol, A., Dufour, D., Hershey, C., Rabbi, I., Maziya‐Dixon, B., Egesi, C., Tufan, H. and Kulakow, P. (020. Understanding cassava varietal preferences through pairwise ranking of gari‐eba and fufu prepared by local farmer–processors. Int J Food Sci Technol. https://doi.org/10.1111/ijfs.14862

Bela Teeken, Olamide Olaosebikan, Ireti Balogun, Benjamin Okoye, Tessy Madu, Steven Cole, Abolore Bello, Elizabeth Parkes. (2020). Piloting the G+ customer and product profile tools for gender-responsive cassava breeding in Nigeria. Nigeria: International Institute of Tropical Agriculture (IITA). https://hdl.handle.net/20.500.11766/13000