Introduction

Satellite-sourced data have become a valuable resource for precision agriculture because they provide crucial insights into various parameters that are essential for effective crop management. An array of practical agricultural tools provides comprehensive data for assessing crop biomass, soil conditions, and plant stress symptoms, predicting yields, and performing other functions. Satellite data, when combined with in situ data from different sources, can significantly enhance biomass and yield estimations.

Material and Methods

The ability of the “PROcesses of radiation, Mass and Energy Transfer” (PROMET) model to predict crop biomass and grain yield and to optimize nitrogen fertilization during the vegetation period was investigated. Field trials were conducted to assess the accuracy and limitations of biomass and yield predictions.

Results and Conclusion

The predicted yields were sufficiently accurate on a whole-field basis, and site-specific values showed strong correlations. In additional field trials with different fertilization strategies, the highest yield and nitrogen efficiency were observed for the PROMET-based strategy. Additional experiments with different crops and greater durations are needed to draw a more reliable conclusion.

中文翻译：

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农场研究中用于产量估算和施氮的 PROMET 模型的评估

 介绍

卫星数据已成为精准农业的宝贵资源，因为它们提供了对有效作物管理至关重要的各种参数的重要见解。一系列实用的农业工具提供了全面的数据，用于评估作物生物量、土壤条件和植物胁迫症状、预测产量和执行其他功能。卫星数据与不同来源的现场数据相结合，可以显着提高生物量和产量估计。

 材料与方法

研究了“辐射、质量和能量转移过程”（PROMET）模型预测作物生物量和谷物产量以及优化生长期氮肥施肥的能力。进行田间试验以评估生物量和产量预测的准确性和局限性。

 结果与结论

预测的产量在整个田地的基础上足够准确，并且特定地点的值显示出很强的相关性。在采用不同施肥策略的其他田间试验中，基于 PROMET 的策略观察到最高的产量和氮效率。需要对不同作物和更长的持续时间进行额外的实验才能得出更可靠的结论。