Ghana: Association for International Agricultural and Extension Education
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 132 Document Number: C19952
Notes:
Burton Swanson Collection, from "Proceedings seventh annual meeting of the assocation for international agricultural and extension education"Riverfront Holiday Inn, St. Louis, Missouri, March 28-30, 1991
Agunga, Robert (author), Zinnah, M.M. (author), Annor-Frempong, Festus (author), Kwarteng, Joseph (author), and Association for International Agricultural and Extension Education (AIAEE).
Format:
Paper
Publication Date:
2006-05-14
Published:
Ghana
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 150 Document Number: C24249
Notes:
Retrieved June 16, 2006, Pages 36-46 in proceedings of the AIAEE conference in Clearwater Beach, Florida, May 14-17, 2006.
Agunga, Robert A. (author / Ohio State University), Kimball, Mary (author), and Association for International Agricultural and Extension Education
Format:
conference papers
Publication Date:
1997-03-04
Published:
Zambia
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 133 Document Number: C20296
Notes:
Burton Swanson Collection, Section I; from "1997 conference papers : Association for International Agricultural and Extension Education", 13th Annual Conference, 3, 4, 5 April 1997, Arlington, Virginia
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 116 Document Number: C11768
Notes:
Francis C. Byrnes Collection, Proceedings of the 13th annual conference of the Association for International Agricultural and Extension Education, Arlington, Virginia, April 3-5, 1997.
14 pages., via online journal., This study sought to identify the information communication technology (ICT) needs of small-scale farmers in Anambra State, Nigeria. A structured interview schedule was used to collect data from a sample of 108 farmers. Results revealed that the majority used radio and television and owned mobile phones and video machines. Constraints to use included capacity, infrastructural/technical and logistical problems. The study recommends that the Nigerian government reorient its policies in order to harness the potential of ICTs to contribute to agricultural development and highlights the need to raise awareness of the agricultural uses of ICTs among the government, other national stakeholders, and rural communities.
10 pages, The main objectives of this research are to assess the educational and training requirements of farmers in Al-Ta’mim governorate in the field of using and maintaining the center pivot sprinkler irrigation systems and identifying the differences between these requirements according to some independent factors. The research sample consisted of 142 farmers representing 60% of the total number of farmers who were using these systems. The data was collected through a questionnaire form and utilizing the Borich equation. After testing the validity and reliability of the questionnaire, the data acquisition commenced through personal interview, the data then were analyzed by using analysis of variance and step-wise regression analysis. The results showed that 94% of farmers require medium to high levels of education and training and that there are significant differences in these requirements according to: educational level, number of months of utilizing the system, annual income, size of holding, and communication level with information sources. Yet, there are no significant differences according to readiness to change and social norms. It is also found that the (number of months of utilizing the system) is the most contributing factor in the interpretation of the variance of the educational and training requirements.
22 pages, The objective of this study was to provide a comprehensive overview of the recent advancements in the use of deep learning (DL) in the agricultural sector. The author conducted a review of studies published between 2016 and 2022 to highlight the various applications of DL in agriculture, which include counting fruits, managing water, crop management, soil management, weed detection, seed classification, yield prediction, disease detection, and harvesting. The author found that DL’s ability to learn from large datasets has great promise for the transformation of the agriculture industry, but there are challenges, such as the difficulty of compiling datasets, the cost of computational power, and the shortage of DL experts. The author aimed to address these challenges by presenting his survey as a resource for future research and development regarding the use of DL in agriculture.
Albrecht, Hartmut (author), Hoffmann, Volker (author), Bergmann, Herbert (author), Diederich, Georg (author), Grober, Eberhard (author), Keller, Peter (author), Payr, Gerhard (author), and Sulzer, Rolf (author)