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IMAGERIE HYPERSPECTRALE
Candidat
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IMAGERIE HYPERSPECTRALE
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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