Canopy Vegetation Indices from In situ Hyperspectral Data to Assess Plant Water Status of Winter Wheat under Powdery Mildew Stress [Farmer]

Paper Introduction

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Plant disease and pests influence the physiological state and restricts the healthy growth of crops. Physiological measurements are considered the most accurate way of assessing plant health status. Specifically, in this paper the use of an in situ hyperspectral remote sensor to detect plant water status in winter wheat infected with powdery mildew was researched. ^[1]

 

References

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[1] Wei Feng, Shuangli Qi, Yarong Heng, Yi Zhou, Yapeng Wu, Wandai Liu, Li He, and Xiao Li (2017) Canopy Vegetation Indices from In situ Hyperspectral Data to Assess Plant Water Status of Winter Wheat under Powdery Mildew Stress. Front Plant Sci. 2017; 8: 1219