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研究生:許柏偉
研究生(外文):Bo-Wei Hsu
論文名稱:近紅外線光譜檢測青椒生長狀況之研究
論文名稱(外文):Study of Green Pepper Growing Status by Using Near-Infrared Spectra
指導教授:萬一怒萬一怒引用關係
指導教授(外文):Ye-Nu Wan
學位類別:碩士
校院名稱:國立中興大學
系所名稱:農業機械工程學系
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2001
畢業學年度:89
語文別:中文
論文頁數:100
中文關鍵詞:近紅外線青椒葉綠素
外文關鍵詞:Near-infraredGreen pepperChlorophyll
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本研究以青椒為對象,探討植株在透光率100%、70%、50%、30%與10%的生長環境下,葉片內葉綠素-a、葉綠素-b、葉綠素總量、可溶性糖及澱粉含量,與其近紅外線反射光譜之變化關係,並建立檢量線,以作為非破壞性檢測青椒生長狀況之依據。
實驗結果顯示,近紅外線光譜分析結合SNV和Detrend二種雜訊消除方式,能有效改善近紅外線光譜量測的誤差,以二次微分法所建立之檢量線可獲得良好的預測效果。近紅外線光譜預測葉綠素含量,以全光譜做MPLS分析,所建立之葉綠素-a檢量線r2=0.910、SEC=0.218、SEP=0.461;葉綠素-b檢量線r2=0.905、SEC=0.222、SEP=0.323;葉綠素總量檢量線r2=0.891、SEC=0.261、SEP=0.332﹔以MLR Step-up做單波長的分析顯示,近紅外線光譜與青椒葉片葉綠素-a、葉綠素-b、葉綠素總量相關性較高的三個波段分別為670nm、638nm、696nm。以近紅外線全光譜做MPLS分析,可溶性糖之檢量線r2=0.930、SEC=0.193、SEP=0.309;澱粉之檢量線r2=0.923、SEC=0.203、SEP=0.409。
本研究顯示,近紅外線光譜分析技術可有效、正確地預測青椒葉片中葉綠素-a、葉綠素-b、葉綠素總量、可溶性糖、澱粉的含量。本研究成果將可作為發展青椒生長狀況即時監控系統之依據。
The purpose of this study was to investigate the correlations between near-infrared spectra and the internal qualities of green pepper leaves. The qualities include chlorophyll-a, chlorophyll-b, chlorophyll-tot, soluble sugar and amylum measured from the leaves of green pepper using different light treatments provided with 100%, 70%, 50%, 30% and 10% relative sun-light intensities. Quantitative curves were generated to serve as a basis for rapid and nondestructive inspection of green pepper growing status using NIR spectra in the future.
Experimental results indicated that the NIR spectrum reflected from the leaves using SNV and Detrend methods could effectively improve the noise and shifting status. Quantitative inspection curves constructed by using second differential equations had better predictive results than using first differential and original NIR spectra. The MPLS (Modified Partial Least Squares) model gave results of chlorophyll-a as r2=0.910, SEC=0.218, SEP=0.461;chlorophyll-b as r2=0.905, SEC=0.222, SEP=0.323 and chlorophyll-tot as r2=0.891, SEC=0.261, SEP=0.332. The MLR (Multiple Linear Regression) Step-up model gave the representative wavelength of chlorophyll-a as 670nm;chlorophyll-b as 638nm and chlorophyll-tot as 696nm. The MPLS model gave results of soluble sugar as r2=0.930, SEC=0.193, SEP=0.309 and amylum as r2=0.923, SEC=0.203, SEP=0.409.
In this study, it showed that the NIR spectra analysis could be used to inspect the internal qualities of green pepper leaves, such as chlorophyll-a, chlorophyll-b, chlorophyll-tot, soluble sugar and amylum effectively and correctly. These results can be applied to develop a real-time control system for monitoring green pepper growing status in the future.
目 錄
誌謝i
摘要ii
ABSTRACTiii
目錄iv
圖目錄vii
表目錄ix
第一章 前言1
1-1前言1
1-2研究目的3
第二章 文獻探討4
2-1植物光合作用的機制4
2-2葉綠素對植物的影響9
2-3植物的反射光譜11
第三章 理論分析13
3-1近紅外線光譜分析原理13
3-2光譜數據處理方法17
3-3光譜修正處理方法20
3-4統計迴歸方法及相關統計定義22
第四章 實驗設備、材料與方法25
4-1實驗設備25
4-2實驗材料29
4-3實驗方法與步驟31
4-3-1實驗環境32
4-3-2近紅外線光譜掃瞄33
4-3-3葉片性狀之測量35
4-3-4葉綠素含量之測定36
4-3-5碳水化合物含量之測定37
4-3-6檢量線製作38
第五章 結果與討論42
5-1不同透光率與生長性狀的關係42
5-1-1不同透光率對形態生長之影響42
5-1-2不同透光率對葉片特性之影響44
5-2不同透光率對葉綠素之影響47
5-3不同透光率對碳水化合物之影響50
5-4 NIR光譜分析52
5-4-1 PCA主成份迴歸分析52
5-4-2迴歸分析方法之比較56
5-4-3檢量線之數學處理方法57
5-5檢量線製作59
5-5-1葉綠素含量檢量線61
5-5-2碳水化合物含量檢量線67
5-5-3葉綠素特殊波長之選取79
第六章 結論87
第七章 建議89
參考文獻90
附錄A 近紅外線光譜相關化學分子吸收表95
附錄B 青椒葉之原始樣本資料97
附錄C 青椒葉反射光譜圖99
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