Resultados de búsqueda - Smartphones Programming.

Digital agricultural platforms and inclusivity: Access needs for user groups of the EzyAgric Platform in Uganda por Ajambo, Susan, Kikulwe, Enoch, Birachi, Eliud, Ogutu, Sylvester Ochieng

“…Designers should focus on simplicity in language, financial education programs, and continuous improvement of user interfaces. …”
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Gender, demand for agricultural credit and digital technology: Survey evidence from Odisha por Kramer, Berber, Pattnaik, Subhransu, Ward, Patrick S.

“…Instead, gender responsive or gender transformative programming is required to improve demand and create an enabling environment in which norms are changed and make it easier for women to take out agricultural credit.…”
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Getting the message out: Information and communication technologies and agricultural extension por Giulivi, Nicoletta, Harou, Aurélie, Gautam, Shriniwas, Güereña, David T.

“…We find that farmers in the smartphone app and the extension training programs are on average 8.4 and 13 percentage points more likely to adopt topdressing fertilizer practices compared to control farmers, statistically significant at the 1% and 5% levels, respectively. …”
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Self-administered mobile phone-based high frequency diet monitoring to advance measurements of food security in Bangladesh por CGIAR Research Program on Policies, Institutions, and Markets

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Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative por Aredo, Samson Dejene, Kramer, Berber

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Factors influencing roll-out of an m-Health intervention in India: Results from a dynamic and responsive process evaluation por Avula, Rasmi, Menon, Purnima, Bajaj, Sumati, Mani, Sneha, George, Nitya

“…Implementation research can support iterative program improvement, yet limited examples of such dynamic experiences exist. …”
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Picture-based crop monitoring is adopted in India, Ethiopia and Kenya by 6 public and private institutions to advance their agricultural insurance and finance services por CGIAR Research Program on Climate Change, Agriculture and Food Security

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Picture-based crop monitoring adopted by six institutions (private-sector insurance companies and associated partners) to improve agricultural insurance and financing services in I... por CGIAR Research Program on Policies, Institutions, and Markets

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Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava por Hershberger, J.M., Mbanjo, E., Peteti, P., Ikpan, A., Ogunpaimo, K., Nafiu, K., Rabbi, I.Y., Gore, M.A.

“…With appropriate model calibration, the tested spectrometer will allow for field-based collection of spectral data with a smartphone for accurate RDMC prediction and potentially other quality traits, a step that could be easily integrated into existing harvesting workflows of cassava breeding programs.…”
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Evaluating multidimensional digital inclusiveness of rice crop manager digital tool: insights from Odisha, India por Singaraju, Niyati, Gakhar, Shalini, Bharti, Preeti, Anjana, V, Mendoza, Jared Jorim

“…Findings reveal widespread smartphone ownership but highlight challenges in internet connectivity and digital literacy, with women and educationally underserved users reporting greater barriers. …”
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Gender perspectives on mobile phone ownership and use: a case study of smallholder farmers in Uganda por Mulungu, Kelvin H.

“…The findings reveal that while 94-98% of households own mobile phones, smartphone ownership remains limited (34%), with pronounced gender disparities. …”
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Picture-based insurance project: Stakeholder perspectives from India por Rajeesh, Sangeetha

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Looks matter? Field performance and farmers' preferences for drought-tolerant maize in Kenya por Kramer, Berber, Wellenstein, Hailey, Waweru, Carol, Kivuva, Benjamin

“…Context To help farmers adapt to climate change, breeding programs have developed drought-tolerant (DT) maize varieties, but varietal turnover among smallholder farmers is slow. …”
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Development of an open-source thermal image processing software for improving irrigation management in potato crops (Solanum tuberosum L.) por Cucho Padin, Gonzalo, Rinza, Javier, Ninanya, Johan, Loayza, Hildo, Quiroz, Roberto, Ramirez, David A.

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Report of CGIAR’s Digital Transformation Accelerator side event–AI-powered innovation: Acceleration research for agri-food system transformation por Ojanji, Wandera, Dhulipala, Ram

“…. • Artemis: AI-powered phenotyping: The Tanzania-based Artemis project was launched as a scalable, AIenabled platform using smartphone-based digital phenotyping. The project combines frugal innovation, interdisciplinary collaboration, and speech recognition to empower breeding programs and integrate farmer voices into research workflows. • The Agricultural Information Exchange Platform (AIEP): A multi-organization initiative piloted AI-powered advisory tools tailored for smallholder farmers in Kenya and India. …”
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