Method for diagnosing crop water deficit through hyperspectral image technology

Abstract

The invention relates to a method for diagnosing the crop water deficit through a hyperspectral image technology, and especially relates to a method for diagnosing the Lycopersicon esculentum Mill. leaf area water based on hyperspectral images. The method comprises the following steps: 1, acquiring Lycopersicon esculentum Mill. leaf hyperspectral image data through a self-constructed hyperspectral imaging system; 2, selecting a characteristic wavelength by optimizing through an adaptive band selection process to realize multidimensional datum dimensionality reduction; 3, dividing the image ofeach sample at the characteristic wave, counter-rotating, carrying out form operation to obtain a target image, and extracting the leaf gray level and the leaf texture characteristic from the target image; and 4, selecting an optimal characteristic subclass through a GA-PLS (genetic algorithm-partial least square) process by fusing the gray scale and the texture characteristic and aiming at ten characteristic variables, and establishing a partial least square regression model based on the optimal characteristic, wherein the correlation coefficient R between a predicted value and a measured value of the model is 0.902. Compared with routine detection methods, the method of the invention has the advantages of rapid detection speed, and simple and convenient operation; and compared with a single near infrared spectroscopy or computer vision technical means, the method of the invention allows obtained information to be comprehensive, and the accuracy and the stability of the detection result to be improved.

Description

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AI Technical Summary

Benefits of technology

This patented technique uses hyperspace spectral imaging (HSI) techniques that help identify crops' water shortage without relying solely upon their physical properties like leaf weight per unit area. By analyzing these attributes, this approach helps make it faster and easier to detect changes caused by poor soil conditions during agricultural production. Additionally, HIS systems have been developed which use specific types of light sources such as LED lights to capture infra red spectrals at different angles around them. These measurements provide valuable insights about plant health and fertility statuses, allowing farmers to better manage plants while ensuring they produce high yields over time.

Problems solved by technology

The technical problem addressed in this patents relates to improving the precision and versatility of detecting crop hydration issues through spectrometry or imagery techniques that combine both methods together with specific features from different sources such as temperature data and humidity levels.

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