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Factors Influencing Adoption of the PlantVillage Nuru Application for Cassava Mosaic Disease Diagnosis Among Farmers in Benin

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  • Dèwanou Kant David Ahoya

    (Laboratory of Analysis and Research on Economic and Social Dynamics (LARDES), University of Parakou (UP), Parakou P.O. Box 123, Benin
    Central Laboratory of Plant Biotechnology and Crop Improvement (LCBVAP), University of Abomey-Calavi (UAC), Cotonou 01 B.P. 4521, Benin)

  • Eveline Marie Fulbert Windinmi Sawadogo-Compaore

    (Department of Natural Resource Management and Production Systems, Institute of Environment and Agricultural Research (INERA), Ouagadougou BP 7047, Burkina Faso)

  • Jacob Afouda Yabi

    (Laboratory of Analysis and Research on Economic and Social Dynamics (LARDES), University of Parakou (UP), Parakou P.O. Box 123, Benin)

  • Martine Zandjanakou-Tachin

    (Research Unit in Horticultural Production and Green Space Management (URPHGEV), School of Horticulture and Green Space Development (EHAEV), National University of Agriculture (UNA), Kétou P.O. Box 43, Benin)

  • Jerome Anani Houngue

    (Central Laboratory of Plant Biotechnology and Crop Improvement (LCBVAP), University of Abomey-Calavi (UAC), Cotonou 01 B.P. 4521, Benin)

  • Serge Sètondji Houedjissin

    (Central Laboratory of Plant Biotechnology and Crop Improvement (LCBVAP), University of Abomey-Calavi (UAC), Cotonou 01 B.P. 4521, Benin)

  • Justin Simon Pita

    (Central and West African Virus Epidemiology (WAVE), Scientific and Innovation Hub of Bingerville, Félix Houphouët-Boigny University (UFHB), Abidjan 22 BP 582, Côte d’Ivoire)

  • Corneille Ahanhanzo

    (Central Laboratory of Plant Biotechnology and Crop Improvement (LCBVAP), University of Abomey-Calavi (UAC), Cotonou 01 B.P. 4521, Benin)

Abstract

Cassava production in Africa is constrained by number of biotic factors, including cassava mosaic disease (CMD). In response to this challenge, the PlantVillage Nuru application, which employs artificial intelligence for CMD diagnosis, provides farmers with the ability to independently detect the disease. This study examines the factors influencing the adoption of the innovative Nuru application by farmers in Benin. Data were randomly collected from 305 farmers in three Agricultural Development Poles (PDAs 5, 6 and 7). A binary logit model was used to analyze the determinants of adoption. The results show that, despite the potential of the Nuru application, the adoption rate remained relatively low at 14.1%. The key drivers of adoption were found to be participation in CMD training, disease knowledge, ownership of an Android smartphone, education level and practice of crop association. These findings emphasize the necessity of intensifying farmers’ training and raising awareness about CMD. Effective strategies to reach and train a significant number of farmers are crucial. Enhancing Nuru adoption can lead to more effective CMD management and improved cassava production, which will have a positive impact on food security in Africa and strengthen the resilience of farming communities against biotic challenges.

Suggested Citation

  • Dèwanou Kant David Ahoya & Eveline Marie Fulbert Windinmi Sawadogo-Compaore & Jacob Afouda Yabi & Martine Zandjanakou-Tachin & Jerome Anani Houngue & Serge Sètondji Houedjissin & Justin Simon Pita & C, 2024. "Factors Influencing Adoption of the PlantVillage Nuru Application for Cassava Mosaic Disease Diagnosis Among Farmers in Benin," Agriculture, MDPI, vol. 14(11), pages 1-15, November.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:11:p:2001-:d:1516061
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    References listed on IDEAS

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    1. Teno, Gabriel & Lehrer, Kim & Kone, Abdoulaye, 2018. "Les facteurs de l’adoption des nouvelles technologies en agriculture en Afrique Subsaharienne: une revue de la littérature," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 13(2), June.
    2. Michel Mbumba Bandi & Martin Bitijula Mahimba & Paul Mafuka Mbe Mpie & Alphonse Roger Ntoto M’vubu & Damase P. Khasa, 2022. "Adoption of Agroforestry Practices in and around the Luki Biosphere Reserve in the Democratic Republic of the Congo," Sustainability, MDPI, vol. 14(16), pages 1-13, August.
    3. Ron Johnston & Kelvyn Jones & David Manley, 2018. "Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1957-1976, July.
    4. Aditya Parmar & Barbara Sturm & Oliver Hensel, 2017. "Crops that feed the world: Production and improvement of cassava for food, feed, and industrial uses," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(5), pages 907-927, October.
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