Smallholder farmers as a backbone for the implementation of the Sustainable Development Goals

Terlau, Wiltrud; Hirsch, Darya; Blanke, Michael

doi:10.1002/sd.1907

Cited by 69 publications

(58 citation statements)

References 12 publications

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“…Even though the potential of citizen science data for monitoring the SDG indicators is being recognized [29], potential synergies and trade-offs arise when focusing on small farmers and agriculture [32]. When dealing with smallholders, satisfaction of basic needs is a priority, which may sometimes put them at odds with being promoters of sustainable development [33]. Moreover, it is very important to maintain privacy standards for crowdsourcing applications, especially in agriculture, so as to avoid potential issues or additional barriers that may hinder participation [34] or even set participants at risk by revealing critical information to the public.…”

Section: Agrotutor and Crowdsourcing With Small Farmersmentioning

confidence: 99%

AgroTutor: A Mobile Phone Application Supporting Sustainable Agricultural Intensification

et al. 2020

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Traditional agricultural extension services rely on extension workers, especially in countries with large agricultural areas. In order to increase adoption of sustainable agriculture, the recommendations given by such services must be adapted to local conditions and be provided in a timely manner. The AgroTutor mobile application was built to provide highly specific and timely agricultural recommendations to farmers across Mexico and complement the work of extension agents. At the same time, AgroTutor provides direct contributions to the United Nations Sustainable Development Goals, either by advancing their implementation or providing local data systems to measure and monitor specific indicators such as the proportion of agricultural area under productive and sustainable agriculture. The application is freely available and allows farmers to geo-locate and register plots and the crops grown there, using the phone’s built-in GPS, or alternatively, on top of very high-resolution imagery. Once a crop and some basic data such as planting date and cultivar type have been registered, the application provides targeted information such as weather, potential and historical yield, financial benchmarking information, data-driven recommendations, and commodity price forecasts. Farmers are also encouraged to contribute in-situ information, e.g., soils, management, and yield data. The information can then be used by crop models, which, in turn, send tailored results back to the farmers. Initial feedback from farmers and extension agents has already improved some of the application’s characteristics. More enhancements are planned for inclusion in the future to increase the application’s function as a decision support tool.

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Section: Agrotutor and Crowdsourcing With Small Farmersmentioning

confidence: 99%

AgroTutor: A Mobile Phone Application Supporting Sustainable Agricultural Intensification

et al. 2020

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“…However, according to a recent UN report, the global transformation required for SDGs' realization is "not yet advancing at the speed or scale required" [10], partly because SDGs cover broad dimensions that increase the complexity of striking a balance between meeting the essential needs of humans and the expected objectives to safeguard the Earth [11]. To address this issue, extensive research efforts have been made to reveal the linkages, such as synergies and tradeoffs, between SDGs and various domains such as water [12], soil [13], farmers [14], energy [15], fire [16], ecosystem [17], textiles [18], non-residential buildings [19], and new urban policies [20]. Evidently, the number of revealed linkages is positively correlated with the possibility that they contribute to SDGs via different aspects.…”

Section: Introductionmentioning

confidence: 99%

A collaborative approach for urban underground space development toward sustainable development goals: Critical dimensions and future directions

Peng

Qiao

Sabri

et al. 2021

Front. Struct. Civ. Eng.

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The utilization of urban underground space (UUS) offers an effective solution to urban problems but may also negatively affect urban development. Therefore, UUS development needs better concerted guidelines to coordinate various urban systems and the multiple components of the underground world. Sustainable Development Goals (SDGs), which should be viewed as important yardsticks for UUS development, do not explicitly mention urban underground space, although many of them are affected by both the positive and negative consequences of its development. To fill this gap, this review lays the foundations of relevant UUS concepts and uses exemplary cases to reveal that 11 out of 17 SDGs can be linked with UUS uses. These linkages also manifest that land administration, integrated planning, architectural design, and construction technology are critical dimensions for increasing the contributions of UUS to the realization of SDGs. To achieve multi-disciplinary synergies among these four critical dimensions, a collaborative approach framework based on spatial data infrastructure is required. Thus, this work provides academics and practitioners with a holistic view of sustainable UUS development.

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“…Smallholder farms (those of <2 hectares in size) make up 84% of the farms worldwide (Lowder et al, 2016). Agricultural development interventions are an important driver of poverty reduction and smallholders, the targets of these interventions, have even been labeled the "backbone" for implementing the SDGs (Terlau et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

What's Stopping Knowledge Synthesis? A Systematic Review of Recent Practices in Research on Smallholder Diversity

Gorman

Browne

Woods

et al. 2021

Front. Sustain. Food Syst.

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A systematic review of recent publications was conducted to assess the extent to which contemporary micro-level research on smallholders facilitates data re-use and knowledge synthesis. Following PRISMA standards for systematic review, 1,182 articles were identified (published between 2018 and 2020), and 261 articles were selected for review in full. The themes investigated were: (i) data management, including data source, variables collected, granularity, and availability of the data; (ii) the statistical methods used, including analytical approach and reproducibility; and (iii) the interpretation of results, including the scope and objectives of the study, development issues addressed, scale of recommendations made relative to the scale of the sample, and the audience for recommendations. It was observed that household surveys were the most common data source and tended to be representative at the local (community) level. There was little harmonization of the variables collected between studies. Over three quarters of the studies (77%) drew on data which was not in the public domain, 14% published newly open data, and 9% drew on datasets which were already open. Other than descriptive statistics, linear and logistic regression methods were the most common analytical method used (64% of articles). In the vast majority of those articles, regression was used as an explanatory tool, as opposed to a predictive tool. More than half of the articles (59%) made claims or recommendations which extended beyond the coverage of their datasets. In combination these two common practices may lead to erroneous understanding: the tendency to rely upon simple regressions to explain context-specific and complex associations; and the tendency to generalize beyond the remit of the data collected. We make four key recommendations: (1) increased data sharing and variable harmonization would enable data to be re-used between studies; (2) providing detailed meta-data on sampling frames and study-context would enable more powerful meta-analyses; (3) methodological openness and predictive modeling could help test the transferability of approaches; (4) more precise language in study conclusions could help decision makers understand the relevance of findings for policy planning. Following these practices could leverage greater benefits from the substantial investment already made in data collection on smallholder farms.

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Smallholder farmers as a backbone for the implementation of the Sustainable Development Goals

Cited by 69 publications

References 12 publications

AgroTutor: A Mobile Phone Application Supporting Sustainable Agricultural Intensification

AgroTutor: A Mobile Phone Application Supporting Sustainable Agricultural Intensification

A collaborative approach for urban underground space development toward sustainable development goals: Critical dimensions and future directions

What's Stopping Knowledge Synthesis? A Systematic Review of Recent Practices in Research on Smallholder Diversity

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