SVM nutrient element deficit identification of potato plantsbased on hyperspectral analysis
WANG Jiao, SUN Haoyue, MA Pingyan, LIU Yajun, ZHANG Dawei
College of Information Engineering, Hebei University of Architecture, Zhangjiakou 075000, China
Abstract: In view of the problems that most of the current researches on crop nutrient deficiency mainly use traditional laboratory chemical methods, morphological methods and fertilization methods, etc., which have high detection cost and damage to the plants themselves, and are not suitable for promotion and use in actual agricultural production. This paper proposes a hyperspectral analysis and image processing method, attempts to use a new handheld hyperspectral camera directly to the outdoor potato demonstration base for field shooting, builds a 1D-CNN network structure based on the spectral curve differences of different hyperspectral images, extracts the region of interest and carries out label processing. The hyperspectral image data sets of normal, nitrogen, phosphorus and potassium deficiency potato plants in natural environment were established. A comparison experiment was carried out on the classification and recognition of vegetative deficient potato plants based on PCA feature extraction and feature selection method based on SVM. The conclusion showed that the total recognition rate of vegetative deficient plants increased from 91.7% to 93.1% after dimension reduction by PCA feature extraction to 20. Under the condition of ensuring accurate recognition rate, dimension reduction treatment could greatly improve the running speed. Compared with feature band selection, feature extraction is more suitable for this lossless qualitative research，It provides a new idea for monitoring crop growth by hyperspectral technology.
Keywords: hyperspectral;deficiency detection;region of interest;convolutional neural network;support vector machine;principal component analysis
2023, 49(11):141-149  收稿日期: 2023-01-19;收到修改稿日期: 2023-03-15
基金项目: 2022年度市级科技计划自筹经费项目（2221008A）
作者简介: 王姣(1994-),女,河北张北县人,助教,硕士,研究方向为模式识别与智能控制。
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