Method for diagnosing nitrogen, phosphorus and potassium deficiency of crops by using polarization-hyperspectral technique

Abstract

The invention discloses a method for diagnosing nitrogen, phosphorus and potassium deficiency of crops by using a polarization-hyperspectral technique, belonging to the technical field of rapid detection of nutrient element deficiency of crops. The method comprises the following steps: acquiring a polarization spectrum of tomato leaves by utilizing polarization spectroscopy, and calculating polarization degree characteristics; acquiring a hyperspectral image of the tomato leaves by utilizing a hyperspectral imaging system, extracting the characteristic wavelength and gray scale and texture characteristics of the tomato leaves under the characteristic wavelength, fusing characteristic layers through the extracted characteristics, and further establishing a prediction model of nutrient content of nitrogen, phosphorus and potassium in the tomato flowering period so as to a method basis for detecting the nutrient content of the crops by utilizing the polarization-hyperspectral technique. Compared with the conventional detection method, the method disclosed by the invention is high in detection speed and easy and convenient to operate; and compared with a single near infrared spectrum or computer vision technological means, the method disclosed by the invention has the advantages that the obtained information is more comprehensive, and the accuracy and stability of the detection result are improved.

Description

technical field [0001] The invention belongs to the technical field of rapid detection of crop nutrient element deficiency, in particular to a method for diagnosing the nitrogen, phosphorus and potassium nutrient content of greenhouse crop leaves based on polarization-hyperspectral technology. Background technique [0002] Tomato (Lycopersicone sculentum Mill.) is one of the main vegetable crops cultivated in greenhouses in my country. Nitrogen, phosphorus, and potassium are essential and most important nutrients for tomato growth. Nutrient deficiencies in nitrogen, phosphorus, and potassium will cause physiological changes, directly affect the yield and taste, and then affect economic benefits. The study of plant physiology has confirmed that leaves are one of the most sensitive parts to reflect the nutritional status, and nutritional deficiencies can cause significant changes in leaf color, texture, roughness, and stomata. Therefore, crop leaves are used as research object...

AI Technical Summary

Problems solved by technology

In recent years, some scholars at home and abroad have mainly applied hyperspectral image technology to the detection of agricultural product quality and crop diseases; polarization spectrum technology has been used to invert the content of chlorophyll in plant leaves, but no polarization-hyperspectral technology has been used to diagnose Status of nitrogen, phosphorus and potassium nutrient deficiencies in crops

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