Non-destructive sensing methods for quality assessment of on-tree fruits: a review
水果無損傷分析方法綜述
Satyam Srivastava1 · Shashikant Sadistap2
Abstract
Optimum maturity at harvest is a very important determinant to ensure the final quality of the fruits. Harvesting fruits at appropriate time maintains different quality parameters such as taste, size, shape, nutritional parameters and also have longer shelf life. While as fruits picked too early or too late in season are more susceptible towards different physiological disorders as well as have very shorter shelf life. So optimal harvesting time judgement is one of the most important information for various fruit growers to optimize the yield and to decrease the on-field losses. In recent years, various rapid and reliable non-destructive sensing techniques along with different m*riate, data fusion, and chemometric algorithms have been evolved to measure the quality parameters of different fruit samples at the time of harvesting. This paper presents an extensive review on different on-field issues during harvesting of various fruits and also how these issues significantly contributes to fruit spoilage all over the world. Presented paper also consist review on different non-destructive sensing techniques (electronic nose, spectroscopy, ultrasonic, imaging etc) along with various data processing algorithms (data treatment, feature extraction, data fusion etc) used for quality assessment of different fruit c*rs. Scope of multiple non-destructive sensing techniques fusion, challenges and bottlenecks also have been explored in the context of fruit quality assessment. Various products available in global market are also reviewed based on their sensing technique,application, prediction capabilities, cost, accessibility and reliability.
收獲時的成熟度是保證果實終品質的一個非常重要的決定因素。在適當的時間收獲水果可以保持不同的質量參數，如味道、大小、形狀、營養參數，而且保存期更長。而當水果采摘過早或過晚時，更容易受到不同生理疾病的影響，而且貨架期也很短。因此，采收期判斷是各果農優化產量、減少田間損失的重要信息之一。近年來，各種快速可靠的無損檢測技術，以及不同的多元、數據融合和化學計量學算法，已經發展成為在收獲時測量不同水果樣品質量參數的方法。本文對不同水果采收過程中不同的田間問題進行了廣泛的綜述，并對這些問題如何對世界各地的水果產生重大影響進行了綜述。本文還綜述了各種無損檢測技術(電子鼻、光譜學、超聲波、成像等)以及用于不同果品品種質量評價的各種數據處理算法(數據處理、特征提取、數據融合等)。在水果質量評估的背景下，還探討了多種無損檢測技術融合的范圍、挑戰和瓶頸。根據傳感技術、應用、預測能力、成本、可訪問性和可靠性，還對市場上的各種產品進行了評估。
KeywordsNon-destructive · Harvesting time · Fruits · Shelf life · And data fusion
關鍵詞：非破壞性·收獲時間·果實·保質期·數據融合
