sensors Article Potential of Visible and Near-Infrared Hyperspectral Imaging for Detection of Diaphania pyloalis Larvae and Damage on Mulberry Leaves Lingxia Huang 1,7,†, Liang Yang 1,† ID , Liuwei Meng 1, Jingyu Wang 1, Shaojia Li 2,3,4, Xiaping Fu 5, Xiaoqiang Du 5,6 and Di Wu 2,3,4,* ID 1 College of Animal Sciences, Zhejiang University, Hangzhou 310058, China;
[email protected] (L.H.);
[email protected] (L.Y.);
[email protected] (L.M.);
[email protected] (J.W.) 2 College of Agriculture & Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China;
[email protected] 3 Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Hangzhou 310058, China 4 The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Hangzhou 310058, China 5 Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China;
[email protected] (X.F.);
[email protected] (X.D.) 6 Key Laboratory of Transplanting Equipment and Technology of Zhejiang Province, Hangzhou, 310018, China 7 South Taihu Agricultural Technology Extension Center in Huzhou, Zhejiang University, Huzhou 313000, China * Correspondence:
[email protected]; Tel.: +86-571-8898-2226; Fax: +86-571-8898-2224 † These authors contributed equally to this work. Received: 9 May 2018; Accepted: 26 June 2018; Published: 28 June 2018 Abstract: Mulberry trees are an important crop for sericulture. Pests can affect the yield and quality of mulberry leaves. This study aims to develop a hyperspectral imaging system in visible and near-infrared (NIR) region (400–1700 nm) for the rapid identification of Diaphania pyloalis larvae and its damage.