在营养研究中优先考虑被忽视的食物种类,使用专家知识和可解释的AI
Michelle Cristine Medeiros Jacob1, Aline Martins de Carvalho2, Ângela Giovana Batista3
1Laboratory of Biodiversity and Nutrition, Universidade Federal Do Rio Grande Do Norte, Avenida Senador Salgado Filho, S/N, Natal, RN, 59078-970, Brazil. michelle.jacob@ufrn.br.
Scientific reports
|March 2, 2026
概括
这项研究对巴西369种被忽视的食物物种进行了清单,使用人工智能来优先考虑研究. 结果强调了文化用途和可访问性,以指导可持续饮食的营养研究.
科学领域:
- 食品科学与营养 食品科学与营养
- 生物多样性保护 生物多样性保护
- 可持续农业 可持续农业
背景情况:
- 被忽视和未充分利用的食物物种对人类健康和可持续的食品系统至关重要.
- 对这些物种的研究受到资金,能力和复杂的考虑所阻碍.
- 需要创新的优先级方法来解决这些研究差距.
研究的目的:
- 为了清单巴西被忽视的食物物种.
- 确定在食品成分和消费研究中优先考虑物种的关键因素.
- 为研究和政策提供信息,以便将被忽视的物种纳入可持续的粮食系统.
主要方法:
- 一种混合方法的方法,结合专家知识和可解释的人工智能 (AI).
- 使用LightGBM和SHAP价值分析进行因子识别.
- 在各种类别 (藻类,动物,昆虫,植物等) 中清单了369种被忽视的食物物种. ) 的情况.
主要成果:
- 该清单包括369种被忽视的食物物种,其中植物和野生脊椎动物占主导地位.
- 存在显著的营养数据缺口,特别是藻类,昆虫和野生脊椎动物.
- 各州的配方数量和物种发生率是食品成分和消费研究中优先考虑的关键预测因素.
结论:
- 文化用途和当地可访问性对被忽视物种的营养研究优先事项产生重大影响.
- 敦促增加研究,以弥补数据缺口,并促进被忽视的物种融入粮食系统.
- 研究结果支持通过加强对被忽视的食物生物多样性的研究,促进巴西和其他热带地区的可持续饮食.
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