有机和昆虫草肥肥生产的数学和计算建模:一个系统的审查
Malontema Katchali1,2, Edward Richard1, Henri E Z Tonnang2
1Institute for Basic Sciences, Technology and Innovation, Pan African University, Kenya.
PloS one
|January 24, 2025
概括
数学和计算模型增强有机肥生产,包括昆虫草,提高农业生产率和可持续性. 这些模型优化营养管理和应用,以减少对环境的影响.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 有机肥料是可持续农业的关键,可以提高作物产量并最大限度地减少对环境的破坏.
- 昆虫草被欧盟认可为一种新的有机肥料.
- 数学和计算建模对于优化肥料生产和应用越来越重要.
研究的目的:
- 审查和分析最近在有机肥料的数学和计算建模方面的进展.
- 批判性地评估这些模型在施肥部署中的方法,好处和挑战.
- 突出建模在推广昆虫肥料等创新肥料中的作用.
主要方法:
- 系统审查35项关于有机肥的数学和计算建模研究.
- 应用数学模型的分析 (模拟,回归,动力学,动力学).
- 分析数据驱动的机器学习模型 (随机森林,SVM,梯度增强,ANN).
主要成果:
- 建模显著提高有机肥生产和应用的效率和有效性.
- 模型量化营养度,释放和对农业生产的影响.
- 传统的数学模型和先进的机器学习模型都得到了有效的利用.
结论:
- 数学和计算建模对于优化有机肥的使用至关重要,包括昆虫肥料.
- 这些模型有助于提高农业生产率和减少对环境的影响.
- 未来的前景包括开发更复杂的模型并将其与物联网集成,以实现更智能的农业.
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