Remote sensing has proven to provide agriculture with many different assessments for crop vigor and productivity. The continual evolution of remote sensing instrumentation and platforms has provided new opportunities to use these tools in the assessment of agricultural systems. The application of remote sensing to quantify the spatial variation in production fields across the Midwest over multiple years has revealed there are three stability zones: the high yielding stable zone, the low yielding stable zone, and the unstable zone. These are derived using a combination of thermal images to detect areas of water stress and the normalized difference vegetative index to assess crop vigor and efficiency of light capture. Development of tools using remote sensing coupled with artificial intelligence and machine learning can transform agriculture through the ability to identify variable areas within fields but also determine the potential adaptive strategies to increase the profitability for each field while reducing the environmental impact through more efficient use of nutrients and pesticides. Development of new tools using remote sensing fulfills the vision of integrating many sources of information into decision making at the field and farm scale.

中文翻译：

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遥感：推进科学和应用以改变农业


事实证明，遥感可以为农业提供多种不同的作物活力和生产力评估。遥感仪器和平台的不断发展为使用这些工具评估农业系统提供了新的机会。应用遥感技术量化中西部地区多年来产田的空间变化，发现存在三个稳定区：高产稳定区、低产稳定区和不稳定区。这些是通过结合热图像来检测水分胁迫区域和标准化差异植被指数来评估作物活力和光捕获效率而得出的。使用遥感技术与人工智能和机器学习相结合的工具开发可以通过识别田地内可变区域的能力来改变农业，还可以确定潜在的适应性策略，以提高每个田地的盈利能力，同时通过更有效地利用养分来减少对环境的影响和农药。利用遥感开发新工具实现了将多种信息源整合到田间和农场规模决策中的愿景。