{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T18:47:43Z","timestamp":1791917263163,"version":"4.3.4"},"reference-count":49,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T00:00:00Z","timestamp":1768953600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Plant Sci."],"abstract":"<jats:p>Pineapple is widely favored by consumers for its rich proteins, vitamin C and other nutrients. Soluble solids content (SSC) has long been the core indicator for pineapple quality assessment, directly affecting its market acceptability and sales. To accurately detect pineapple SSC, this study used a hyperspectral imaging system to collect hyperspectral images in the 400\u20131700 nm range, with SSC measured by an Atago PAL-1 digital sugar meter as the reference. Five pretreatments (including multiple scattering correction (MSC), polynomial smoothing (SG) and mathematical transformations) were applied to raw spectral data, and three prediction models (partial least squares regression (PLSR), Lasso regression, ridge regression (RR)) were established. All models performed well: PLSR showed R\u00b2=0.9459 and RMSE = 0.5746, Lasso R\u00b2=0.8965 and RMSE = 1.0221, RR R\u00b2=0.8560 and RMSE = 1.2632. After screening characteristic bands via Successive Projections Algorithm (SPA) and re-modeling, the ddA-PLSR model was optimal (R\u00b2=0.9869, RMSE = 0.1250), with four key wavelengths (673-676nm, 711-715nm, 971-990nm, 1357-1367nm) extracted. This confirms hyperspectral imaging (HSI) enables efficient and accurate SSC detection in pineapples, with great application potential in pineapple quality identification.<\/jats:p>","DOI":"10.3389\/fpls.2025.1758676","type":"journal-article","created":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T06:44:08Z","timestamp":1768977848000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Soluble solids content prediction of pineapple based on visible-near infrared hyperspectral image"],"prefix":"10.3389","volume":"16","author":[{"given":"Yanli","family":"Yao","sequence":"first","affiliation":[{"name":"Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture (Zhanjiang), Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticultural Products, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences","place":["Zhanjiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junjun","family":"He","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture (Zhanjiang), Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticultural Products, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences","place":["Zhanjiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhangyun","family":"Gao","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University","place":["Wuhan, Hubei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuying","family":"Zhu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture (Zhanjiang), Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticultural Products, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences","place":["Zhanjiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shenghui","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture (Zhanjiang), Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticultural Products, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences","place":["Zhanjiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanling","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture (Zhanjiang), Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticultural Products, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences","place":["Zhanjiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Feng","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University","place":["Wuhan, Hubei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiumei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture (Zhanjiang), Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticultural Products, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences","place":["Zhanjiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,1,21]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/j.focha.2023.100416","article-title":"A comprehensive review of pineapple processing and its by-product valorization in India","volume":"3","author":"Abraham","year":"2023","journal-title":"Food Chem. 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