Exploring the landscape of controlled environment agriculture research: A systematic scoping review of trends and topics

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Ajwal Dsouza , Lenore Newman , Thomas Graham , Evan D.G. Fraser
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引用次数: 3

Abstract

CONTEXT

Controlled environment agriculture (CEA), as vertical farms or plant factories, is a promising technology to intensify food production in an ecologically friendly manner. CEA's potential for improving the sustainability of food systems has prompted a growing research field. However, little is known about the emerging landscape of CEA research.

OBJECTIVE

To map the key concepts underpinning CEA research and answer the following questions: What are the conceptual domains in CEA research? What crops have been systematically investigated for CEA production? What are the major research gaps and future research considerations?

METHOD

We conducted a scoping review, systematically retrieving and screening peer-reviewed literature that met the inclusion criteria. We then conducted a thematic analysis of the included studies and extracted relevant data.

RESULTS AND CONCLUSION

The review included 610 studies that met the inclusion criteria. Based on thematic analysis, CEA research was categorised into four domains—technical, biological, environmental, and socio-economic research. CEA research focused disproportionately on biological research (n=348), particularly plant-light interactions (n=248). We observed a paucity of research on the socio-economic aspects of CEA (n=60). Screening for studied crop species revealed a disproportionate research focus on leafy vegetables (n=187). Lettuce was the most studied crop followed by basil (n=24) and tomato (n=22). Increasing crop choices is imperative for CEA to improve food security. Future research must prioritize socio-economic studies, increase crop choices through breeding, and rigorously test environmental sustainability claims if CEA is to become a truly viable player in developing more sustainable food systems.

SIGNIFICANCE

These results highlight a need for cross-disciplinary CEA research with a scope beyond photobiology—including environmental assessments, resource use efficiency, urban food security, and expanding crop choices in CEA. This will improve understanding of CEA's role in sustainable food systems.

Abstract Image

探索受控环境农业研究的前景:趋势和主题的系统范围综述
控制环境农业(CEA)作为垂直农场或植物工厂,是一种以生态友好的方式加强粮食生产的有前途的技术。CEA在提高食品系统可持续性方面的潜力促使研究领域不断扩大。然而,人们对CEA研究的新兴领域知之甚少。目的绘制CEA研究的关键概念图,并回答以下问题:CEA研究的概念领域是什么?对哪些作物的CEA生产进行了系统调查?主要的研究差距和未来的研究考虑因素是什么?方法我们进行了范围界定审查,系统检索和筛选符合纳入标准的同行评审文献。然后,我们对纳入的研究进行了专题分析,并提取了相关数据。结果与结论该综述包括610项符合纳入标准的研究。根据主题分析,CEA研究分为四个领域——技术、生物、环境和社会经济研究。CEA的研究不成比例地集中在生物学研究上(n=348),特别是植物与光的相互作用(n=248)。我们观察到对CEA的社会经济方面的研究很少(n=60)。对所研究作物物种的筛选显示,对叶菜的研究重点不成比例(n=187)。生菜是研究最多的作物,其次是罗勒(n=24)和番茄(n=22)。增加作物选择对CEA改善粮食安全至关重要。如果CEA要成为发展更可持续的粮食系统的真正可行的参与者,未来的研究必须优先考虑社会经济研究,通过育种增加作物选择,并严格测试环境可持续性主张。重要意义这些结果突出了跨学科CEA研究的必要性,其范围超出了光生物学,包括环境评估、资源利用效率、城市粮食安全,以及扩大CEA中的作物选择。这将增进对CEA在可持续粮食系统中的作用的理解。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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