Department of Agronomy, University of Almeria, Carretera de Sacramento s/n, 04120 La Cañada de San Urbano, Almería, Spain.
CIAIMBITAL Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology, University of Almeria, 04120 La Cañada de San Urbano, Almería, Spain.
Sensors (Basel). 2018 Jun 28;18(7):2083. doi: 10.3390/s18072083.
Optimal nitrogen (N) management is essential for profitable vegetable crop production and to minimize N losses to the environment that are a consequence of an excessive N supply. Proximal optical sensors placed in contact with or close to the crop can provide a rapid assessment of a crop N status. Three types of proximal optical sensors (chlorophyll meters, canopy reflectance sensors, and fluorescence-based flavonols meters) for monitoring the crop N status of vegetable crops are reviewed, addressing practical caveats and sampling considerations and evaluating the practical use of these sensors for crop N management. Research over recent decades has shown strong relationships between optical sensor measurements, and different measures of crop N status and of yield of vegetable species. However, the availability of both: (a) Sufficiency values to assess crop N status and (b) algorithms to translate sensor measurements into N fertilizer recommendations are limited for vegetable crops. Optical sensors have potential for N management of vegetable crops. However, research should go beyond merely diagnosing crop N status. Research should now focus on the determination of practical fertilization recommendations. It is envisaged that the increasing environmental and societal pressure on sustainable crop N management will stimulate progress in this area.
优化氮(N)管理对于盈利性蔬菜作物生产至关重要,可最大限度地减少因过量 N 供应而导致的 N 向环境中的损失。置于作物接触或靠近作物的近程光学传感器可快速评估作物的 N 状况。本文综述了用于监测蔬菜作物 N 状况的 3 种近程光学传感器(叶绿素计、冠层反射率传感器和基于荧光的类黄酮计),涉及实际注意事项和采样注意事项,并评估了这些传感器在作物 N 管理中的实际应用。近几十年来的研究表明,光学传感器测量值与蔬菜物种的不同作物 N 状况和产量衡量指标之间存在很强的关系。然而,用于评估作物 N 状况的充足值和(b)将传感器测量值转化为 N 肥料推荐值的算法这两者:(a)对于蔬菜作物而言,可用性都有限。光学传感器在蔬菜作物的 N 管理方面具有潜力。然而,研究不应仅仅局限于诊断作物 N 状况。现在应该把重点放在确定实际施肥建议上。可以预见,可持续作物 N 管理方面日益增加的环境和社会压力将推动这一领域的进展。