كاربرد تكنيك غير مخرب تصويربرداري ابرطيفي در كشاورزي و صنايع غذايي

Hyperspectral imaging using non-destructive techniques in agriculture and food industry

كيفيت و سلامت موادغذايي، فاكتور مهمي در صنايع غذايي مدرن مي‌باشد. در حال حاضر روش هاي مرسوم ارزيابي مواد غذايي، مخرب و ناكارآمد هستند، بنابراين توسعه ي يك ابزار ارزيابي غير مخرب و كارآمد، اهميت دارد. در اين خصوص ، تكنولوژي‌هاي تصويربرداري و طيف سنجي، به طور گسترده اي مورد مطالعه قرار گرفته و سبب كاربرد موفقيت آميزي در صنايع غذايي شده است. با توجه به خصوصيات تركيبي از تصويربرداري و طيف سنجي، تصويربرداري فراطيفي نه تنها مي‌تواند مشخصه‌هاي خارجي و ظاهري محصول را از تصوير استخراج كند، بلكه مي‌تواند در تشخيص مشخصه‌هاي شيميايي محصول با توجه به آناليز طيفي آن نيز كمك كند. مزيت اين روش غير مخرب ، سريع ، اقتصادي، نياز كم به نيروي انساني و حذف آلاينده هايي مانند حلال ها است. همچنين اين تكنيك داراي معايبي چون روند محاسباتي پيچيده مي باشد. در اين تحقيق كاربردهاي عمده‌ي تصويربرداري فراطيفي در كيفيت سنجي محصولات كشاورزي عنوان شده است.

Food quality and health is an important factor in modern food industries. Nowadays, traditional methods of food assessment are destructive and inefficient, so developing a non-destructive and efficient evaluation tool is important. In this regard, imaging and spectroscopy technologies have been extensively studied and successfully applied in the food industry. Due to the characteristics of the combination of imaging and spectroscopy, hyperspectral imaging, not only can extract image features of the external appearance of the product , but can be in identifying properties or characteristics Chemical products of the product also help with its spectral analysis. The advantage of this method is non-destructive, rapid, economical, while this technique can perform qualitative and quantitative assessment of different components of the sample. Also, this technique has some disadvantages such as complicated computational process. Recently, this technique has been successfully applied in the food industry for quality and health assessment. These uses include meat quality assessment, poultry carcasses inspection, apple pests diagnosis, fruit grading, estimation of sugar distribution in garden products, assessment of the degree of maturation, diagnosis of injuries in cucumbers. In total since hyperspectral imaging, the ability to both spectral information and space for the test samples provide, can make a difference in the quality and quantity of food to determine exactly has led to better describe and improve results Assessing the quality and health of foods to detect early corruption of products. In this research, the major applications of hyperspectral imaging are described in the quality of agricultural products.