Documents (Candidat mots-clés)

• [Article] Non-destructive and in-site estimation of apple quality and maturity by hyperspectral imaging / WANG (F) ; ZHAO (C) ; YANG (H) ; (et al.). 2022, vol. 195. - Article 106843 9p
  https://www.sciencedirect.com/science/article/pii/S0168169922001600
  
• [Article] Mutual Augmentation of Spectral Sensing and Machine Learning for Non-Invasive Detection of Apple Fruit Damages / SHURYGIN (B) ; SMIRNOV (I) ; CHILIKIN (A). 26/11/2022, vol. 8, n° 12. - Article 1111 13 p.
  https://www.mdpi.com/2311-7524/8/12/1111
  
• [Article] Physiological Disorder Diagnosis of Plant Leaves Based on Full-Spectrum Hyperspectral Images with Convolutional Neural Network / YANG (M) . 2022, vol. 8, n° 9. - Article 854 17 p.
  https://www.mdpi.com/2311-7524/8/9/854
  
• [Article] Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms - A review / WIEME (J) ; MOLLAZADE (K) ; MALOUNAS (I). 10/2022, vol. 222. - p. 156-176
  https://www.sciencedirect.com/science/article/pii/S1537511022001751
  
• [Brève web] Observer des plantes à différentes longueurs d’onde pour mieux étudier les maladies transmises par les sols / GARRY (G) ; CHAMOT (C) ; TRINSOUTROT-GATTIN (I). 30/08/2022
  https://theconversation.com/observer-des-plantes-a-differentes-longueurs-donde-pour-mieux-etudier-les-maladies-transmises-par-les-sols-186573
  
• [Support intervention] L’imagerie multi et hyperspectrale au service de l’agriculture - Présentation des outils et de quelques applications / RYCKEWAERT (M). FR/CTIFL, 25/02/2021. - 23 p.
  
• [Brève web] Leafy greens that turn purple? They might be contaminated 21/01/2022
  https://www.growingproduce.com/vegetables/leafy-vegetables/leafy-greens-that-turn-purple-they-might-be-contaminated/
  
• [Brève web] Grape disease detection from the final frontier : Cornell pathologist using satellites, aircraft, other disease-detecting tools. / MILKOVICH (M). 22/02/2021
  https://www.goodfruit.com/grape-disease-detection-from-the-final-frontier/
  
• [Multimédia] Séminaire AgroTIC : numérique et arboriculture face aux enjeux du changement climatique 14/12/2021
  https://www.agrotic.org/seminaire-agrotic-numerique-et-arboriculture-face-aux-enjeux-du-changement-climatique/
  
• [Article] In-field and non-invasive determination of internal quality and ripeness stages of Feicheng peach using a portable hyperspectral imager / SHAO (Y) ; WANG (Y) ; XUAN (G). 2021, vol. 212. - p. 115-125
  https://www.sciencedirect.com/science/article/abs/pii/S1537511021002464
  
• [Article] Spectrum smart vineyard irrigation / PRENGAMAN (K). 2021, vol. 72, n° 13. - p. 28-31.
  https://www.goodfruit.com/spectrum-smart-vineyard-irrigation/
  
• [Article] Machine vision system for almond grading and safety 2021, vol. 35, n° 2. - p. 26-27
  
• [Article] Calibreuses - Une vue même sur l'invisible / DESCHAMPS (W). 04/2021, n° 746. - p. 29-30
  
• [Congrès] Proceedings of the International Symposium on Advanced Technologies and Management for Innovative Greenhouses - GreenSys2019 / BOURNET (P E) ; BRAJEUL (E) ; FATNASSI (H). INT/ISHS, 2020, vol. 1296. - 2 volumes
  ISBN 9789462612945
  https://www.pubhort.org/actahort/books/1296/
  
• [Article] Flyby for fertilizer management / PRENGAMAN (K). 30/12/2020, vol. 71, n° 17. - p. 60-65
  https://www.goodfruit.com/flyby-for-fertilizer-management/
  
• [Article] Hyperspectral imaging for tomato bruising damage assessment of simulated harvesting process impact using wavelength interval selection and multivariate analysis / CUI (J) ; YANG (M) ; SON (D) ; (et al.). 2020, vol. 36, n° 4. - p. 533-547
  
• [Article] Calibrage - Caméras hyperspectrales et IA facilitent le tri qualité / BARGAIN (V). 2020, n° 408. - p. 38-39
  
• [Article] Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data / SUAREZ (L A) ; ROBSON (A) ; MCPHEE (J) ; O'HALLORAN (J). 02/05/2020, vol. first online. - 23 p.
  
• [Article] Sun wary / PRENGAMAN (K). 15/01/2020, vol. 71, n° 2. - p. 24-26
  https://www.goodfruit.com/sun-stress-has-growers-sun-wary/
  
• [Article] Detection taflatoxin B1 in pistachio kernels using visible/near-infrared hyperspectral imaging / WU (Q) ; XU (H). 2019, vol. 62, n° 5. - p. 1065-1074
  
• [Article] Poire Pomme - Maîtriser le feu bactérien / BARGAIN (V). 2019, n° 397. - p. 36-37
  
• [Article] Quantitative analysis of cadmium content in tomato leaves based on hyperspectral image and feature selection / ZHANG (Y) ; SUN (J) ; LI (J). 2018, vol. 34, n° 5. - P. 789-798
  
• [Article] Quality analysis of stored bell peppers using near-infrared hyperspectral imaging / RAHMAN (A) ; FAQEERZADA (M A) ; JOSHI (R). 2018, vol. 61, n° 4. - P. 1199-1207
  
• [Article] Benefits of hyperspectral imaging for plant disease detection and plant protection : a technical perspective / THOMAS (S) ; KUSKA (M T) ; BOHNENKAMP (D) ; (et al.). 2018, vol. 125, n° 1. - p. 5-16
  
• [Article] Deep feature representation with stacked sparse auto-coder and convolutional neural network for hyperspectral imaging-based detection of cucumber defects / LIU (Z) ; HE (Y) ; CEN (H). 2018, vol. 61, n° 2. - P. 425-436
  
• [Article] Hyperspectral, time-resolved, fluorescence imaging system for large sample sizes : Part II. Detection of fecal contamination on spinach leaves / TEWEY (K) ; LEFCOURT (A M) ; TASCH (U). 2018, vol. 61, n° 2. - P. 391-398
  
• [Article] Hyperspectral, time-resolved, fluorescence imaging system for large sample sizes : Part I. Development of a high-energy line-illumination source / TEWEY (K) ; LEFCOURT (A M) ; SHILTS (P). 2018, vol. 61, n° 2. - P. 381-389
  
• [Congrès] Proceedings of the VIII International Postharvest Symposium : Enhancing Supply Chain and Consumer Benefits - Ethical and Technological Issues - Cartagena, Murcia (ES) : 21-24/06/2016 / coordinateur ARTES HERNANDEZ (F) ; coordinateur GOMEZ (P A) ; coordinateur AGUAYO (E) ; coordinateur ARTES (F). 2018, vol. 3 vol, n° 1194. - 1441 p.
  ISBN 9789462611900
  
• [Article] Drone data for agriculture / KHOT (L). 2018, vol. 69, n° 4. - P. 16-19
  https://www.goodfruit.com/khot-drone-data-for-agriculture
  
• [Article] Early detection of fungal infection of stored apple fruit with optical sensors - Comparison of biospeckle, hyperspectral imaging and chlorophyll fluorescence / PIECZYWEK (P M) ; CYBULSKA (J) ; SZYMANSKA CHARGOT (M) ; SIEDLISKA (A) ; ZDUNEK (A) ; NOSALEWICZ (A) ; BARANOWSKI (P) ; KURENDA (A). 2018, vol. 85. - p. 327-338
  
• [Tiré à part] The Use of Non-destructive Techniques to Assess the Nutritional Content of Fruits and Vegetables - chap 34 / YAHIA (E M) ; AMODIO (M L) ; CHAUDHRY (M M A) ; COLELLI (G). GB/JOHN WILEY & SONS, 2017. - p. 763-780
  
• [Article] Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease / NOURI (M) ; GORRETTA (N) ; VAYSSE (P) ; GIRAUD (M) ; GERMAIN (C) ; KERESZTES (B) ; ROGER (J M). 2018, vol. 16. - p. 967-971
  
• [Article] Detection of internally bruised blueberries using hyperspectral transmittance imaging / ZHANG (M) ; LI (C) ; TAKEDA (F) ; YANG (F). 2017, vol. 60, n° 5. - P. 1489-1502
  
• [Article] APPLICATION OF HYPERSPECTRAL IMAGING AND ACOUSTIC EMISSION TECHNIQUES FOR APPLE QUALITY PREDICTION / ELKRAMIRAD (N) ; RADY (A) ; ADEDEJI (A A) ; (et al.). 2017, vol. 60, n° 4. - P. 1391-1401
  
• [Article] PREDICTING APPLE FIRMNESS AND SOLUBLE SOLIDS IMAGING BASED ON HYPERSPECTRAL SCATTERING IMAGING USING FOURIER SERIES EXPANSION / WAG (W) ; HUANG (M) ; ZHU (Q). 2017, vol. 60, n° 4. - P. 1053-1062
  
• [Article] EARLY DETECTION OF APHID (MYZUS PERSICAE) INFESTATION ON CHINESE CABBAGE BY HYPERSPECTRAL IMAGING AND FEATURE EXTRACTION / ZHAO (Y R) ; YU (K Q) ; FENG (C) ; (et al.). 2017, vol. 60, n° 4. - P. 1045-1051
  
• [Article] USING REFLECTANCE AND GRAY-LEVEL TEXTURE FOR WATER CONTENT PREDICTION IN GRAPE VINES / SHAO (Y) ; ZHOU (H) ; JIANG (L) ; (et al.). 2017, vol. 60, n° 1. - P. 207-213
  
• [Article] PREDICTION OF SOLUBLE SOLIDS CONTENT OF APPLE USING THE COMBINATION OF SPECTRA AND TEXTURAL FEATURES OF HYPERSPECTRAL REFLECTANCE IMAGING DATA / FAN (S) ; ZHANG (B) ; LI (J) ; (et al.). 2016, vol. 121. - P. 51-61
  
• [Article] MAPPING OF CHLOROPHYLL AND SPAD DISTRIBUTION IN PEPPER LEAVES DURING LEAF SENESCENCE USING VISIBLE AND NEAR-INFRARED HYPERSPECTRAL IMAGING / YU (K Q) ; ZHAO (Y R ; ZHU (F L) ; (et al.). 2016, vol. 59, n° 1. - P. 13-24
  
• [Article] A NOVEL METHOD FOR DETECTION OF PIERIS RAPAE LARVAE ON CABBAGE LEAVES USING NIR HYPERSPECTRAL IMAGING / WU (X) ; ZHANG (W) ; QIU (Z) ; (et al.). 2016, vol. 32, n° 4. - P. 311-316
  
• [Article] MULTISPECTRAL SCATTERING IMAGING AND NIR INTERACTANCE FOR APPLE FIRMNESS PREDICTIONS / SUN (J) ; KUNNEMEYER (R) ; MCGLONE (A) ; (et al.). 2016, vol. 119. - P. 58-68
  
• [Article] PREDICTION OF MECHANICAL PROPERTIES OF BLUEBERRY USING HYPERSPECTRAL INTERACTANCE IMAGING / HU (M H) ; DONG (Q L) ; LIU (B L) ; (et al.). 2016, vol. 115. - P. 122-131
  
• [Article] PREDICTING BRUISE SUSCEPTIBILITY OF GOLDEN DELICIOUS APPLES USING HYPERSPECTRAL SCATTERING TECHNIQUE / ZHU (Q) ; GUAN (J) ; HUANG (M) ; (et al.). 2016, vol. 114. - P. 86-94
  
• [Article] MULTISPECTRAL DETECTION OF SKIN DEFECTS OF BI-COLORED PEACHES ON VIS-NIR HYPERSPECTRAL IMAGING / LI (J) ; CHEN (L) ; HUANG (W) ; (et al.). 2016, vol. 112. - P. 121-133
  
• [Article] NONDESTRUCTIVE DETECTION OF CHILLING INJURY IN CUCUMBER FRUIT USING HYPERSPECTRAL IMAGING WITH FEATURE SELECTION AND SUPERVISED CLASSIFICATION / CEN (H) ; LU (R) ; ZHU (Q) ; (et al.). 2016, vol. 111. - P. 352-361
  
• [Article] DETECTION OF DECAY IN FRESH-CUT LETTUCE USING HYPERSPECTRAL IMAGING AND CHLOROPHYLL FLUORESCENCE IMAGING / SIMKO (I) ; JIMENEZ BERNI (J A) ; FURBANK (R T). 2015, vol. 106. - P. 44-52
  
• [Article] ESTIMATING BLUEBERRY MECHANICAL PROPERTIES BASED ON RANDOM FROG SELECTED HYPERSPECTRAL DATA / HU (M H) ; DONG (Q L) ; LIU (B L) ; (et al.). 2015, vol. 106. - P. 1-10
  
• [Article] TAVELURE DU POMMIER ET ANTHRACNOSES DU NOYER - DÉTECTION PRÉCOCE DES MALADIES FONGIQUES PAR IMAGERIE HYPERSPECTRALE / VAYSSE (P) ; GIRAUD (M) ; LHEUREUX (F) ; MORONVALLE (A) ; ROGER (J M) ; GORRETTA (N) ; GERMAIN (C) ; KERESZTES (B) ; GRENIER (G) ; NOURI (M). 2015, n° 312. - P. 42-46
  
• [Article] RAPID DETECTION OF ANTHOCYANIN CONTENT IN LYCHEE PERICARP DURING STORAGE USING HYPERSPECTRAL IMAGING COUPLED WITH MODEL FUSION / YANG (Y C) ; (SUN (D W) ; (et al.). 2015, vol. 103. - P. 55-65
  
• [Article] RIPENESS EVALUATION OF "SUN BRIGHT" TOMATO USING OPTICAL ABSORPTION AND SCATTERING PROPERTIES / ZHU (Q) ; HE (C) ; LU (R) ; (et al.). 2015, vol. 103. - P. 27-34
  
• [Article] RECENT PROGRESS OF HYPERSPECTRAL IMAGING ON QUALITY AND SAFETY INSPECTION OF FRUITS AND VEGETABLES : A REVIEW / PU (Y Y) ; FENG (Y Z) ; SUN (D W). 2015, n° EARLY VIEW. - 13 P.
  
• [Article] DEVELOPMENT OF MULTISPECTRAL IMAGING ALGORITHM FOR DETECTION OF FRASS ON MATURE RED TOMATOES / YANG (C C) ; KIM (M S) ; MILLNER (P) ; (et al.). 2014, vol. 93. - P. 1-8
  
• [Article] ANALYSIS OF HYPERSPECTRAL SCATTERING IMAGES USING A MOMENT METHOD FOR APPLE FIRMNESS PREDICTION / ZHU (Q) ; HUANG (M) ; LU (R) ; MENDOZA (F). 2014, vol. 57, n° 1. - P. 75-83
  
• [Article] SUPERVISED CLASSIFICATION OF BRUISED APPLES WITH RESPECT TO THE TIME AFTER BRUISING ON THE BASIS OF HYPERSPECTRAL IMAGING DATA / BARANOWSKI (P) ; MAZUREK (W) ; PASTUSZKA WOZNIAK (J). 2013, vol. 86. - P. 249-258
  
• [Article] AUTOMATIC IMAGE ANALYSIS AND SPOT CLASSIFICATION FOR DETECTION OF FRUIT FLY INFESTATION IN HYPERSPECTRAL IMAGES OF MANGOES / HAFF (R P) ; SARANWONG (S) ; THANAPASE (W) ; (et al.). 2013, vol. 86. - P. 23-28
  
• [Article] RELATIONSHIP OF THE OPTICAL ABSORPTION AND SCATTERING PROPERTIES WITH MECHANICAL AND STRUCTURAL PROPERTIES OF APPLE TISSUE / CEN (H) ; LU (R) ; MENDOZA (F) ; (et al.). 2013, vol. 85. - P. 30-38
  
• [Article] GRAPE SEED CHARACTERIZATION BY NIR HYPERSPECTRAL IMAGING / RODRIGUEZ PULIDO (F J) ; BARBIN (D F) ; SUN (D W) ; (et al.). 2013, vol. 76. - P. 74-82
  

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