Engenharia Agrícola · 2017 · 13 citations · 21 references
AgricultureAgronomyCrop SciencesCrop SensingCropping SystemsRemote SensingLight InterceptionRadiation InterceptionSensor Data AcquisitionVariable Rate Nutrient ManagementVegetation IndicesVegetation MonitoringCrop ReflectanceNitrogen Content EstimationNitrogen Fertilizer ManagementNitrogen Fertilizer ReplacementPlant Nitrogen Status EstimationPrecision Agriculture MonitoringReflectanceTemporal Variability
Optimization of N management is one of the great challenges to be overcome in grain production, as it is directly related to productivity and can also cause environmental damage. Precision agriculture aims to solve this problem by applying nitrogen fertilizer at varying rates. Reflectance sensors are instruments capable of estimating N needs in various crops, including grain crops. However, it is not clear how these sensors perform under varying solar radiation and cloud cover, due to a lack of research on their temporal variability. Thus, this study examined the temporal variability of the NDVI (normalized difference vegetation index), as measured by an active reflectance sensor, in both soybean and wheat crops. The NDVI data were collected using a GreenSeeker sensor every 15 minutes over 12 or 14 consecutive hours. Incident solar radiation was recorded using an Instrutherm MES-100 pyranometer. In all experiments in soybean and wheat, NDVI was negatively influenced by irradiation, showing higher values at the beginning and end of the day. Changes in cloud cover also affected NDVI values during the experiments.
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Introduction to linear regression analysis
Pieter Bastiaan Ober · Journal of Applied Statistics · 2013 · 1.7K citations
Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices
Fei Li, Yuxin Miao, Guohui Feng et al. · Field Crops Research · 2014 · 345 citations