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.
13 pages, via Online Journal, This paper contributes to our understanding of farm data value chains with assistance from 54 semi-structured interviews and field notes from participant observations. Methodologically, it includes individuals, such as farmers, who hold well-known positionalities within digital agriculture spaces—platforms that include precision farming techniques, farm equipment built on machine learning architecture and algorithms, and robotics—while also including less visible elements and practices. The actors interviewed and materialities and performances observed thus came from spaces and places inhabited by, for example, farmers, crop scientists, statisticians, programmers, and senior leadership in firms located in the U.S. and Canada. The stability of “the” artifacts followed for this project proved challenging, which led to me rethinking how to approach the subject conceptually. The paper is animated by a posthumanist commitment, drawing heavily from assemblage thinking and critical data scholarship coming out of Science and Technology Studies. The argument’s understanding of “chains” therefore lies on an alternative conceptual plane relative to most commodity chain scholarship. To speak of a data value chain is to foreground an orchestrating set of relations among humans, non-humans, products, spaces, places, and practices. The paper’s principle contribution involves interrogating lock-in tendencies at different “points” along the digital farm platform assemblage while pushing for a varied understanding of governance depending on the roles of the actors and actants involved.
Bernardo, F.A. (author / Director, SEARCA, Los Banos, Laguna, Philippines; and President, the Asian Association of Agricultural Colleges and Universities (AAACU) YR 1985) and Director, SEARCA, Los Banos, Laguna, Philippines; and President, the Asian Association of Agricultural Colleges and Universities (AAACU) YR 1985
Format:
Conference paper
Publication Date:
unknown
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 54 Document Number: C01136
Notes:
AgComm Teaching; See also ID C01252 to C01275, In: Symposium on education for agriculture; 1984 November 12-16; Manila, Philippines. Manila, Philippines : the International Rice Research Institute, 1985. 21 p.
Broughton, Duncan (author) and Win, Su Su (author)
Format:
Research summary
Publication Date:
2019
Published:
Myanmar: Department of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 166 Document Number: D11673
Notes:
7 pages., Feed the Future Innovation Lab for Food Security Policy, Research Paper 131, Burma Food Security Policy Project (FSPP)., Analysis revealed that Myanmar has one of the smallest, most underfunded agricultural research systems in Southeast Asia. It is cited as having critical gaps in research capacity, an agricultural research capacity that is highly fragmented, weak linkages between research and extension at local level, and lack of overall strategy for development of agricultural research and extension. Strong economic justification was cited for higher rates of investment in agricultural research, along with recommendations for action.
23 Pgs., Information and Communication Technology is a potent force in the developing world for social, economic and educational transformation of individuals, agencies and institutions. This study examined the veritable roles of ICT in empowering rural women farmers in Rivers State. The specific objectives were to examine the demographic characteristics of the respondents, identify ICT devices in use by the respondents; information needs of the respondents, the roles of ICTs in rural women empowerment and constraints to the use of ICT devices by the respondents. Structured questionnaire was used to elicit information from respondents and oral interview where necessary. The respondents were 120 rural women farmers purposively selected from the farmers list obtained from the ADP (Agricultural Development Project) Office in the Area. The results indicate that 54.2% of the respondents are married, 57.5% with secondary education, 52.5% hold a farm size of 0.25 – 1 hectare of land. ICT devices in use include mobile phones, television, radio and other devices. They need information on inputs, prices, markets, produce demand, new practices and technologies. ICT play various roles in empowering the women such as offering entrepreneurial opportunity, breaking isolation, providing linkages to inputs and markets, assisting small and medium size business, reducing poverty, and illiteracy and improving income and savings of rural women. The problems affecting use of ICT devices include absence and erratic supply of electricity, lack of ICT skills, low level of awareness etc. Government should provide basic amenities to the rural dwellers to improve their socio-economic well-being.
