نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار پژوهش، بخش تحقیقات فنی و مهندسی کشاورزی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی آذربایجانشرقی، سازمان تحقیقات، آموزش و ترویج کشاورزی، تبریز، ایران
2 دانشیار پژوهش، بخش تحقیقات هوشمندسازی کشاورزی، موسسه تحقیقات فنی و مهندسی کشاورزی، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران
3 کارشناس بخش تحقیقات فنی و مهندسی کشاورزی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی آذربایجانشرقی، سازمان تحقیقات، آموزش و ترویج کشاورزی، تبریز، ایران
10.22092/amsr.2026.372864.1536
چکیده
پایش خواص سیبزمینی طی انبارداری نقش مهمی در تعیین زنجیرۀ مصرف، عرضۀ بهموقع محصول و کاهش ضایعات دارد. در این پژوهش، سامانۀ پایش غیرمخرب خواص سیبزمینی با استفاده از فناوری تصویربرداری پسپراکنش نور لیزر در محدوده نور مرئی و فروسرخ نزدیک نمونهسازی و ارزیابی شد. تصویربرداری طی نگهداری محصول در انبارهای سرد با دماهای 4 و 7 درجة سلسیوس و انبار سنتی صورت گرفت. در آزمایشها از دو رقم سیبزمینی آگریا و جیلی استفاده شد. خواص محصول شامل درصد رطوبت، میزان نشاسته، مواد جامد حلشدنی و سفتی بافت طی انبارداری تعیین شد. ویژگیهای مبتنی بر تحلیلهای شدت نور و بافت تصاویر استخراج شد. از مدل شبکۀ عصبی مصنوعی برای بهدست آوردن ارتباط بین هریک از خواص مذکور و ویژگیهای تصاویر استفاده شد. نتایج حاصل نشان داد که طول موج 680 نانومتر در پیشبینی مقدار رطوبت، طول موج 880 نانومتر در پیشبینی سفتی و ترکیب دو طول موج در پیشبینی مواد جامد حلشدنی کل و درصد نشاسته موفقتر بودند. بیشترین مقدار ضریب همبستگی در پیشبینی مقدار رطوبت، مواد جامد حلشدنی، سفتی و درصد نشاسته بهترتیب 0/76، 0/82، 0/71و 0/73 بهدست آمد. نتایج پژوهش بیانگر قابلیت استفاده از سامانه تصویربرداری پسپراکنش نور لیزر در سنجش خواص سیبزمینی انبارشده بود.
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