17 pages, The positive spillover impacts of the efficiency of information and communication technology (ICT) and land accessibility as factor inputs to agricultural productivity are well documented in the literature. Furthermore, input-output efficiency as a measurement of factors contributing towards gross production is no exception in this regard. Few studies on agricultural production and ICT at the household level in South Africa show divergent empirical results. This study investigates the effect of information and communication technology (ICT) and land for farming in the context of household food production in South Africa. Household engagement in agricultural activities is proxy for agricultural production, farm land size is a proxy for land accessibility, telephone and internet use are proxies for ICT in this study. Household data of twenty-one thousand, six hundred and one (21,601) households on agricultural activities and ICTs were generated from the existing survey data of General household survey, 2015 by Statistics South Africa. Majority of the households are not engaging in agricultural activities due to no access to land for farming, but more than 80 percent of the households have access to at least one form of ICTs penetration i.e. mobile telephony. The logit regression shows that internet connection in the household have positive and significant impact on household agricultural production but land accessibility is indirectly related and significant to household food production in South Africa. Therefore land accessibility may be a barrier to agricultural activity involvement in South Africa. The study shows that the positive spillover impacts of ICT may not be possible due to lack of access to land for agriculture. Land for farming, CDMA telephony and internet are highly required for agricultural activities in order to promote food production, reduce cost of telecommunications, promoting agricultural research and development via internet accessibility.
5 pages., This research aimed to figure out the attitude and readiness of agriculture extension officers
in using the Information and Communication Technology. Data collection was done through a
survey with total sample 60 respondents. Data gained were primary data from questionnaire
filling by respondents who were all extension officers in Food Security and Extension
Implementation Agency. Data analyses used in this research were reliability and validity analysis, Fishbein’s Attitude Model, and regression analysis which continued with F and t test. The results of Validity and Reliability Test gave a valid outcome with rcal >0,3 and reliability value of α >0,6 in all variables. Fishbein’s Attitude Model test in all variables showed an answer from neutral to very positive data. Linear Regression Test resulted in an
equation Y = -6,234+ 0,211 X1 + 0,213X2 + 0,550 X3 + 0,119 X4 + 1,252X5 + 0,665X6. The
value of determination coefficient (R2) was 0,816 which meant that variable variance of
Information and Communication Technology acceptance could be explained by data
variance of extension officers’ attitude and readiness (farmer readiness, extension officers readiness, infrastructure, management support, culture support) in values of 81,6%. In F test, Fcal was = 44,683 and was significant in p < 0,05, which meant that the effects of extension officers’ attitude and readiness to Information and Communication Technology acceptance.
6 pages, Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world’s most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations’ 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centered around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good.
Online from publisher. 2 pages., Describes how agricultural journalists in the Congo are continuing media coverage in all corners of their national territory, even in the midst of the fight against COVID-19.
16 pages, Lack of access to agricultural extension and advisory services has been identified as one of the major challenges facing emerging farmers in South Africa. The purpose of this study was to determine the level of access to these services by emerging livestock farmers in uThungulu District Municipality of KwaZulu-Natal. A survey design was used with face-to-face interviews to collect data using a semi-structured questionnaire. A sample of 1 437 was randomly selected from 4 792 emerging livestock farmers in the district. Descriptive statistical analyses were performed using Statistical Package for the Social Sciences (SPSS) version 23 software. The results show that more than 90% of emerging livestock farmers in the district had high access to public extension and 14% had access to private extension, in addition. About 32% of the respondents also had access to extension and advisory services from agricultural cooperatives. There was an improvement in access to these services by emerging farmers compared to the past. The involvement of the private sector and cooperatives in rendering extension and advisory services to emerging livestock farmers shows that various stakeholders are involved in improving emerging livestock farmers in the province.
Online from publisher website., By embracing modern technology and engaging enthusiastic young people, the work of an NGO in Malawi is extending the reach of agricultural extension across the country.
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.
12 pages, Conservation Agriculture (CA) has been widely promoted as a pathway to sustainably intensify agriculture in sub-Saharan Africa (SSA). Yet despite decades of promotion, CA uptake in SSA remains sparse with only few analyses of its impacts on farming and rural livelihoods. This study, which focuses on areas in Central Malawi considered to have a relatively high uptake of CA, uses analyses of satellite images, field observations, interviews with farmers, extension workers and other people involved in CA promotion, as well as a household survey, to investigate how CA has been adapted. We find that the three CA principles – (1) continuous minimum tillage, e.g. no-ridging, (2) permanent ground cover, and (3) crop rotation/intercropping – were not practiced as intended. First, one-third of non-ridged land was tilled during the growing season, and half was again ridged in the following season. Second, unless crop residues were added, the soil’s surface of non-ridged plots was usually bare at planting, causing weed control problems, and an increased risk of erosion. Most farmers added large volumes of crop residues to their non-ridged plots. They collected these from the surrounding fields, but this practice severely restricted the size of these plots. Third, crop rotation/intercropping was practiced less when farmers stopped ridging. Thus overall, very few farmers practised all of the three CA principles simultaneously. CA promotion appeared to only increase yields on plots where mulch was added, but this practice is not scalable. CA promotiondoes not seem to have provided substantial benefits for overall farm productivity, labour-savings or soil cons
14 pages, In recent years, “urban greening” has become a new keyword in urban policy and practice, used to describe a proliferation of urban quality of life and environmental sustainability initiatives including street trees, public parks, greenways, farmers' markets, green roofs, and LEED certification in design. The emerging critical literature on urban greening has highlighted important ways green's social and economic added value affects the political economy of contemporary greening and produces inequalities in access to real or perceived environmental goods. However, such research has only infrequently asked why and under what conditions naturalized understandings of green as “good” make it possible for such initiatives to add value in the first place. As a result, it offers only partial explanations of why green has the effects it has—for instance, increasing property values—and only very rarely questions the fundamental “good” of nature itself. I argue that integrating insights on green's naturalized social and economic value from a growing body of social-theoretical work across geography and the social sciences can complement political economic explanations for greening and provide new vantage points for critique.
