Leaf Characteristics Extraction of Rice under Potassium Stress Based on Static Scan and Spectral Segmentation Technique
SHI Yuan-yuan1, 2, DENG Jin-song1, 2, CHEN Li-su1, 2, ZHANG Dong-yan1, 2, DING Xiao-dong1, 2, WANG Ke1, 2*
1.Institution of Agricultural Remote Sensing & Information Technique, Zhejiang University/Zhejiang Key Laboratory of Remote Sensing & Information Technique, Hangzhou 310029, China 2.Ministry of Education Key Laboratory of Environmental Remediation, Ecological and Health, Zhejiang University, Hangzhou 310029, China
Abstract：The timing, convenient and reliable method of diagnosing and monitoring crop nutrition is the foundation of scientific fertilization management.However, this expectation cannot be fulfilled by traditional methods, which always need excessively work on sampling, detection and analysis and even exhibit lagging timing.In the present study, stable images for potassium-stressed leaf were acquired using stationary scanning, and object-oriented segmentation technique was adopted to produce image objects.Afterwards, nearest neighbor classifier integrated the spectral, shape and topologic information of image objects to precisely identify characteristics of potassium-stressed features.Diagnosing with image, the 3rd expanded leaves are superior to the 1st expanded leaves.In order to assess the result, 250 random samples and an error matrix were applied to undertake the accuracy assessment of identification.The results showed that the overall accuracy and kappa coefficient was 96.00% and 0.945 3 respectively.The study offered an information extraction method for quantitative diagnosis of rice under potassium stress.
[1] CHEN Jia-juan, JI Shou-wen, LI Juan(陈佳娟，纪寿文，李 娟，等).Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2001, 17(2): 157. [2] WANG Yong, SHEN Ming-xia, JI Chang-ying, et al(王 勇，沈明霞，姬长英，等).Acta Agriculturae Zhejiangensis(浙江农业学报), 2007, 19(5): 385. [3] WANG Ke-ru, LI Shao-kun, WANG Chong-tao, et al(王克如，李少昆，王崇桃，等).Acta Agronomica Sinica(作物学报), 2006, 32(1): 34. [4] MAO Han-ping, ZHANG Yan-cheng, HU Bo(毛罕平，张艳诚，胡 波).Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2008, 24(9): 136. [5] TAN Feng, GAO Yan-ping(谭 峰，高艳萍).Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2008, 24(5): 170. [6] XIAO Yan-bo, JIA Liang-liang, CHEN Xin-ping, et al(肖焱波，贾良良，陈新平，等).Chinese Agricultural Science Bulletin(中国农学通报), 2008, 24(8): 448. [7] WANG Juan, LEI Yong-wen, ZHANG Yong-shuai, et al(王 娟，雷咏雯，张永帅，等).Chinese Journal of Eco-Agriculture(中国生态农业学报), 2008, 16(1): 145. [8] Flowers，M W, Randall H.Ronnie.Agronomy Journal，2003，95： 1189. [9] Sripada P V, Heiniger R W, White J G, et al.Agron.J.，2005，97(5)： 1443. [10] Scharf P C，Lory J A.Agronomy Journal, 2002, 94: 397. [11] Blackmer T M，Schepers J S.Journal of Plant Physiology, 1996, 148(3-4): 440. [12] Graeff S，Steffens D，Schubert S.Journal of Plant Nutrition and Soil Science, 2001, 164: 445. [13] Jia L，Chen X，Zhang F，et al.Journal of Plant Nutrition, 2004, 27(3): 441. [14] MAO Shui-long, QIN Sui-chu, MAO Jie-qi(毛水龙，秦遂初，毛节錡).Acta Agriculturae Universitatis Zhejiangensis(浙江农业大学学报)，1992，18(1)： 62. [15] WU Di, ZHU Deng-sheng, HE Yong, et al(吴 迪，朱登胜，何 勇, 等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2008, 28(7): 1496. [16] Yoshida S, Forno D A, Cock J H.Laboratory Manual for Physiological Studies of Rice.2nd ed.Philippins: The International Rice Research Institute, 1972.57.
