Search Results - ICRAF

Assessment of Professional Training Programmes in International Agricultural Research Institutions: The Case of ICRAF

Authors: Wanjiku, Julliet Mairura, Franklin Place, Frank

Source: Journal of Agricultural Education and Extension. 2010 16(4):413-431.

Peer Reviewed: Y

Page Count: 19

Descriptors: Agricultural Education, Professional Training, Questionnaires, Foreign Countries, Forestry, Interviews, Gender Differences, Educational Attainment, Experience, Skill Development, Transfer of Training, Resources, Outcomes of Education

Geographic Terms: Kenya

Exploring the Impact of Different Input Data Types on Soil Variable Estimation Using the ICRAF-ISRIC Global Soil Spectral Database.

Authors: Aitkenhead, Matt J. Black, Helaina I. J.

Source: Applied Spectroscopy. Feb2018, Vol. 72 Issue 2, p188-198. 11p.

Artificial Intelligence-Based Prediction of Key Textural Properties from LUCAS and ICRAF Spectral Libraries.

Authors: Gouda, Mohamed Zakaria Nagihi, El Mehdi Khiari, Lotfi et al.

Source: Agronomy. Aug2021, Vol. 11 Issue 8, p1550. 1p.

ICRAF supports biological practices to fight fall armyworm infestations.

Authors: Kapembwa, Jeff

Source: Farmer's Weekly. 1/26/2024, p21-21. 1p.

MSRA-Net: A Multi-Task Learning Model for Soil Texture Prediction with Dynamic Weighting and Prior Knowledge Soft Constraints.

Authors: Deng, Yun Xu, Yongjian Shi, Yuanyuan

Source: Sensors (14248220). Nov2025, Vol. 25 Issue 21, p6519. 23p.

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Effect of Biological Amendment on the Agro-morphology of Cocoa Companion Species (Irvingia gabonensis, Garcinia kola, Tieghemella heckelii and Beilschmiedia mannii) at the Nursery Stage.

Authors: Alban, M’BO Kacou Antoine Soro, Kanigui Issouf Kouakou, Thomas d’Aquin et al.

Source: Indian Journal of Agricultural Research. Mar2026, Vol. 60 Issue 3, p359-367. 9p.

Coupling of soil carbon and water dynamics in two agroforestry systems in Malawi.

Authors: Hoffmeister, Svenja Hassler, Sibylle Kathrin Maier, Rebekka et al.

Source: Biogeosciences. 2026, Vol. 23 Issue 4, p1545-1567. 23p.

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Coffee Agroforestry Systems as an Environmental Service for Carbon Sequestration.

Authors: Caldas Garnique, Vanessa Johana Salazar, Fiorella V. Güere Valencia Reyes, Zanhy Leonor et al.

Source: CET Journal - Chemical Engineering Transactions; 2026, Vol. 125, p439-444, 6p

Agroforestry education at university level: ICRAF's strategy

Authors: Zulberti, E.

Source: Agroforestry Systems. Aug/Sep1993, Vol. 23 Issue 2/3, p133. 0p.

Agroforestry systems, adaptation and resilience in agricultural landscapes: a bibliometric analysis.

Authors: Gallo, Anderson de Souza Gervazio, Wagner Christofoletti, Jessica Helena et al.

Source: Agroforestry Systems. Oct2024, Vol. 98 Issue 7, p2649-2666. 18p.

In memoriam: Peter A. Huxley (1926–2019).

Authors: Lundgren, Björn Nair, P. K. van Noordwijk, Meine et al.

Source: Agroforestry Systems. Apr2020, Vol. 94 Issue 2, p335-339. 5p.

The (un)broken promise of agroforestry: a case study of improved fallows in Zambia.

Authors: Jacobson, Michael Ham, Cori

Source: Environment, Development & Sustainability. Dec2020, Vol. 22 Issue 8, p8247-8260. 14p.

Subject Terms: *Agroforestry, *Attitudes toward technology, *Fallowing, *Institution building, *Farmers, *Poverty reduction

Geographic Terms: Zambia

M-Learning for Climate Resilience: A Case Study of Latvia's Indigenous Crop Initiative in Ghana.

Authors: KĀLE, Maija KRŪMIŅA, Marija KELEDORME, Lily et al.

Source: Baltic Journal of Modern Computing; 2025, Vol. 13 Issue 3, p680-693, 13p

Indigenous agriculture at the beginning of the twenty-first century: the Guaraní Mbyás minority conserves ethnoknowledge and agrobiodiversity within the remnants of the Brazilian Atlantic Forest.

Authors: Fernandes, Lucas Mazzero Visscher, Anna Maria do Couto, Hilton Thadeu Zarato et al.

Source: Agroforestry Systems. Dec2022, Vol. 96 Issue 8, p1211-1224. 14p.

Using deep neural networks for evaluation of soil quality based on VIS–NIR spectroscopy.

Authors: Safaie, Mehdi Hosseinpour-Zarnaq, Mohammad Omid, Mahmoud et al.

Source: Earth Science Informatics. Feb2024, Vol. 17 Issue 1, p271-281. 11p.

Subject Terms: *Artificial neural networks, *Convolutional neural networks, *Partial least squares regression, *Soil quality, *Soil texture, *Structural optimization

Socio-economic Factors Affecting the Sustainability of Chololo Pits Technology in Semi-Arid Dodoma: The Case of Chamwino District, Tanzania.

Authors: Ismail, Zubeir Khamis Kaswamila, Abiud Maro, Fredy

Source: Journal of the Geographical Association of Tanzania. 2022, Vol. 42 Issue 2, p71-83. 13p.

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