Using machine learning to evaluate 1.2 million studies on small-scale farming and post-production food systems in low- and middle-income countries DOI Creative Commons
Jaron Porciello, Leslie Lipper, Maryia Ivanina

и другие.

Frontiers in Sustainable Food Systems, Год журнала: 2023, Номер 6

Опубликована: Март 8, 2023

Recent developments have emphasized the need for agrifood systems to move beyond a production-oriented approach recognize agriculture as part of broader system that prioritizes livelihoods, social equity, diets, and climate environmental outcomes. At same time, knowledge base is growing exponentially. Using artificial intelligence machine learning approaches, we reviewed more than 1.2 million publications from past 20 years assess current landscape agricultural research taking place in low- middle-income countries. The result clearer picture what has been conducted on small-scale farming post-production 2000 present, where persistent evidence gaps exist. We found greatest focus literature economic outcomes, such productivity, yield, incomes. There also some emphasis identifying measuring However, noticeable data exist focused nutrition diet, gender inclusivity.

Язык: Английский

Analysis of the factors influencing the adoption of digital extension services: evidence from the RiceAdvice application in Nigeria DOI Creative Commons

Rico Amoussohoui,

Aminou Arouna, Miroslava Bavorová

и другие.

The Journal of Agricultural Education and Extension, Год журнала: 2023, Номер 30(3), С. 387 - 416

Опубликована: Июнь 14, 2023

Purpose: The study evaluates new approach of digital extension services for the long-term adoption technologies. We propose an indirect to address following research questions. What socioeconomic factors influence rice farmers' decision prefer one business profile over another? Which is most preferred and likely be adopted by farmers? are attributes characteristics required create best profile?Design/Methodology/Approach: Ten profiles were tested with a sample size 1440 farmers. Using RiceAdvice as case study, we used choice experiment alternative-specific mixed logit model determine analyze its determinants.Findings: was predicted gender, age, education level, production experience, technology knowledge, contact agents, farm size, household income. 49.4% farmers selected cash payment after harvest at 9.70 USD/hectare more than two seasons-contract first approach. Cash 14.50 season-contract chosen 44.7% second option.Practical implications: Results highlight ideal profile, which considers all levels education, USD/hectare/season optimum price no access credit.Theoretical expands applicability combined econometric in context service adoption.Originality/Value: This revealed technologies suitable small holder adoption.

Язык: Английский

Процитировано

6
Annual comprehensive on hyper-automation technology application in farming: review DOI Creative Commons
Sairoel Amertet, Girma Gebresenbet,

Hassan M. Alwan

и другие.

Smart Agricultural Technology, Год журнала: 2024, Номер 9, С. 100516 - 100516

Опубликована: Июль 27, 2024

The purpose of agriculture is to support humankind. There are currently 7.7 billion people on the planet and this figure will increase nine by 2050. As population grows, even greater amounts food be needed, creating a significant challenge for farmers. Emerging digital technologies such as hyper-automation have potential revolutionize conventional agricultural methods. This study assessed current use systems in examined whether new uses technology could benefit industries. One example an automated variable-seed control system, which has reported seeding accuracy 98 %, indicating cost-effective solution. Overall, our analysis revealed that sustain future production ensure security, countries throughout world need focus sector.

Язык: Английский

Процитировано

2
Strengthening resilience against shocks, stressors and recurring crises in low- and middle-income countries: an evidence gap map DOI Open Access
Miriam Berretta, Sang‐Hwa Lee,

Meital Kupfer

и другие.

Опубликована: Май 10, 2023

About 3ieThe International Initiative for Impact Evaluation (3ie) develops evidence on how to effectively transform the lives of poor in low-and middle-income countries.Established 2008, we offer comprehensive support and a diversity approaches achieve development goals by producing, synthesizing promoting uptake impact evaluation evidence.We work closely with governments, foundations, NGOs, institutions research organizations address their decision-making needs.With offices Washington DC, New Delhi London global network leading researchers, deep expertise across our extensive menu services.3ie gap maps 3ie are thematic collections information about evaluations or systematic reviews that measure effects international policies programmes.The provide visual display completed ongoing sector subsector, structured around framework interventions outcomes.The map reports all supporting documentation maps, including background theme map, methods results, protocols, analysis results. this reportThis report presents results searches identify available base decisionmaking agricultural development.

Язык: Английский

Процитировано

5
Curriculum reform in agricultural vocational education and training in Zimbabwe: Implementation challenges and possibilities DOI Creative Commons
Chenjerai Muwaniki, Simon McGrath, Muneta G. Manzeke‐Kangara

и другие.

Journal of vocational, adult and continuing education and training, Год журнала: 2022, Номер 5(1), С. 22 - 22

Опубликована: Ноя. 17, 2022

There is a need for the agricultural technical vocational education and training curriculum in Zimbabwe to be reformed so that it can respond changes farmer demographics, expanding roles of extension officers (AEOs), technology climate change. The current agriculture was developed different context altogether; therefore, now lacks relevance prevailing socio-economic, political environmental changes. evolving needs farmers, AEOs institutions providing extension, match AEOs’ occupation role profiles. This article draws on curricular documents from five involved policy, together with 22 respondents, aim exposing gaps curriculum. In addition, explores ways which reimagined meet small-scale emerging developments digital technologies. authors advance what might processes change curriculum, highlighting weaknesses as well more responsive should look like light both local international expectations. doing, contributes wider debate about reform.

Язык: Английский

Процитировано

7
Using machine learning to evaluate 1.2 million studies on small-scale farming and post-production food systems in low- and middle-income countries DOI Creative Commons
Jaron Porciello, Leslie Lipper, Maryia Ivanina

и другие.

Frontiers in Sustainable Food Systems, Год журнала: 2023, Номер 6

Опубликована: Март 8, 2023

Recent developments have emphasized the need for agrifood systems to move beyond a production-oriented approach recognize agriculture as part of broader system that prioritizes livelihoods, social equity, diets, and climate environmental outcomes. At same time, knowledge base is growing exponentially. Using artificial intelligence machine learning approaches, we reviewed more than 1.2 million publications from past 20 years assess current landscape agricultural research taking place in low- middle-income countries. The result clearer picture what has been conducted on small-scale farming post-production 2000 present, where persistent evidence gaps exist. We found greatest focus literature economic outcomes, such productivity, yield, incomes. There also some emphasis identifying measuring However, noticeable data exist focused nutrition diet, gender inclusivity.

Язык: Английский

Процитировано

3