Building Trust in AI Farming Tools

Crops & Soils Pub Date : 2024-07-17 DOI:10.1002/crso.20381
Tess Joosse
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引用次数: 0

Abstract

Precision agriculture tools like decision support systems increasingly use machine-learning algorithms and other types of artificial intelligence (AI) to analyze large quantities of agricultural data and provide recommendations to producers and crop advisers. However, several barriers threaten adoption of these tools. Three papers in the recent Agronomy Journal special section, “Machine Learning in Agriculture,” explore this phenomenon and offer solutions and opportunities for building trust in these technologies. Earn 0.5 CEUs in Crop Management by reading this article and taking the quiz at https://web.sciencesocieties.org/Learning-Center/Courses.

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建立对人工智能农业工具的信任
决策支持系统等精准农业工具越来越多地使用机器学习算法和其他类型的人工智能(AI)来分析大量农业数据,并向生产者和作物顾问提供建议。然而,一些障碍威胁着这些工具的采用。最近的《农学杂志》专栏 "农业中的机器学习 "中的三篇论文探讨了这一现象,并为建立对这些技术的信任提供了解决方案和机会。阅读本文并参加 https://web.sciencesocieties.org/Learning-Center/Courses 网站上的测验,即可获得 0.5 个作物管理 CEU。
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