利用化學方法做梨樹葉片分析之營養評量，可以做為施肥管理之參考。本研究研發之近紅外線分光光度計包括分光光度計（範圍400－2498 nm）及電腦等設備，可應用於快速梨葉片營養診斷。經由二階差分及三階差分處理後之光譜，再利用部分最小平方法分析，結果顯示，梨葉片N、P、K、Ca、Mg校正線，交叉驗證之判定係數（r^2 cv）分別為0.848、0.551、0.378、0.794 及0.709，交叉證標均方根誤差（RMSECV）為0.066、0.009、0.189、0.099及0.026g/100g。
Chemical analysis to assess the nutrient status of pear leaves can be used for fertilizer management of pear production. A near-infrared reflectance spectrophotometer system, including an optical fiber probe, a spectrophotometer in the region 400 to 2500 nm, and a computer were developed to fast diagnosis of leaf nutrient analysis. By second and third derivative pretreatment and then analyzed by PLSR algorithm, the results were showed that the coefficient of determination of cross-validation (r^2 cv) were 0.848 for N, 0.551 for P, 0.378 for K, 0.794 for Ca and 0.709 for Mg with root mean square error of cross-calibration (RMSECV) 0.066 for N, 0.009 for P, 0.189 for K, 0.099 for Ca and 0.026 (g/100g) for Mg, respectively.
