Documents (Mots-clés)

• [Brève web] Mieux comprendre les technologies électromagnétiques pour évaluer l’état physiologique des plantes 09/03/2023
  https://rmt-bestim.org/mieux-comprendre-les-technologies-electromagnetiques-pour-evaluer-letat-physiologique-des-plantes/
  
• [Brève web] RMIT University & Université d'Adélaide - Une puce en niobate de lithium pourrait détecter à distance le degré de maturité des fruits 13/02/2023
  https://www.freshplaza.fr/article/9501072/une-puce-en-niobate-de-lithium-pourrait-detecter-a-distance-le-degre-de-maturite-des-fruits/
  
• [Multimédia] Non-destructive measurement of fruit density to optimize fruit quality for consumers and manage storage and ripening conditions / LUROL (S) ; BULVER (F) ; RONJON (A). 2022
  
• [Brève web] Tr Turoni propose un instrument non destructif pour ces fruits délicats - Myrtilles et cerises : mesurer la fermeté de leur pulpe n'a jamais été aussi facile 31/01/2023
  https://www.freshplaza.fr/article/9499222/myrtilles-et-cerises-mesurer-la-fermete-de-leur-pulpe-n-a-jamais-ete-aussi-facile/
  
• [Brève web] Première démonstration d'une appli mobile pour le calibrage des fruits 16/01/2023
  https://www.freshplaza.fr/article/9493528/premiere-demonstration-d-une-appli-mobile-pour-le-calibrage-des-fruits/
  
• [Article] Is this pear sweeter than this apple ? A universal SSC model for fruits with similar physicochemical properties / YU (Y) ; YAO (M). 2023, vol. 226. - p. 116-131
  https://www.sciencedirect.com/science/article/abs/pii/S1537511023000077
  
• [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
  
• [Brève web] Un enregistreur de données à détection de chocs reproduit le mouvement des fruits et légumes pendant la manutention et le transport 11/10/2022
  https://www.freshplaza.fr/article/9465753/un-enregistreur-de-donnees-a-detection-de-chocs-reproduit-le-mouvement-des-fruits-et-legumes-pendant-la-manutention-et-le-transport/
  
• [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
  
• [Congrès] Proceedings of the IX International Symposium on Kiwifruit. Porto (Pt) : 6-7/09/2017 / coordinateur ANTUNES (M D) ; coordinateur GALLEGO (P P). INT/ISHS, 2018, n° 1218. - 600 p.
  ISBN 9789462612150
  https://www.actahort.org/books/1218/
  
• [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
  
• [Article] Application of chlorophyll 'a' fluorescence in analysis and detection of bacterial wilt in tomato plants / WANG (X) ; YANG (W) ; YANG (Y) ; (et al.). 2022, vol. 65, n° 2. - p. 347-356
  
• [Article] Assessing chilling injury in cucumber seedlings using chlorophyll fluorescence based on a quantum genetic algorithm and support vector regression model / LU (M) ; YUAN (K) ; LI (B) ; (et al.). 2022, vol. 65, n° 2. - p. 313-325
  
• [Brève web] T.R. Turoni - Nouveau dispositif de mesure automatique universel en Italie 13/07/2022
  https://www.freshplaza.fr/article/9443821/nouveau-dispositif-de-mesure-automatique-universel-en-italie/
  
• [Brève web] Détection de produits phytosanitaires sur les fruits et légumes par un nanocapteur 11/07/2022
  http://veilleagri.hautetfort.com/archive/2022/07/11/detection-de-produits-phytosanitaires-sur-les-fruits-et-legu-6391470.html
  
• [Article] Extracting and modifying the vibration characteristic parameters of watermelon based on experimental modal measurement and finite element analysis for hollow heart defect detection / DING (C) ; WANG (D) ; FENG (Z) ; CUI (D). 2022, vol. 65, n° 1. - p. 151-167
  
• [Brève web] L'imagerie infrarouge à courte portée utilisée pour l'inspection des fruits 14/06/2022
  https://www.freshplaza.fr/article/9435044/l-imagerie-infrarouge-a-courte-portee-utilisee-pour-l-inspection-des-fruits/
  
• [Brève web] Karolinska Institutet, Suède - Un nanocapteur capable de détecter les pesticides sur les fruits en quelques minutes 09/09/2022
  https://www.freshplaza.fr/article/9433733/un-nanocapteur-capable-de-detecter-les-pesticides-sur-les-fruits-en-quelques-minutes/
  
• [Article] Monitoring of pesticide amount in fruit and vegetables by a fluorescence-based sensor / RODRIGUES (A C M) ; BARBIERI (M V) ; FEBBRAIO (F). 25/05/2022, vol. 20, n° S 1. - 9 p.
  https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2022.e200419?af=R
  
• [Article] A Fruit Colour Development Index (CDI) to Support Harvest Time Decisions in Peach and Nectarine Orchards / SCALISI (A) ; O'CONNELL (M G) ; ISLAM (M S) ; GOODWIN (I). 2022, vol. 8, n° 5. - Article 459
  https://www.mdpi.com/2311-7524/8/5/459
  
• [Brève web] Wearable sensor for plant leaves warns of heat stress in crops 11/05/2022
  https://www.futurefarming.com/crop-solutions/wearable-sensor-for-plant-leaves-warns-of-heat-stress-in-crops/
  
• [Support intervention] Les derniers outils pour évaluer la qualité et la maturité des fruits / WESTERCAMP (P) ; LUROL (S). FR/CTIFL, 26/03/2021. - 20 p.
  
• [Support intervention] Point d’étape sur les outils d’évaluation de la qualité et de la maturité des abricots / LUROL (S). FR/CTIFL, 30/03/2021. - 21 p.
  
• [Brève web] Marina Martin Curran, Sustainability Manager chez Vivent, sur la technologie PhytlSigns - Analyser et exploiter les signaux électriques des plantes pour optimiser les cultures 31/03/2022
  https://www.freshplaza.fr/article/9415040/analyser-et-exploiter-les-signaux-electriques-des-plantes-pour-optimiser-les-cultures/
  
• [Brève web] Le SPECTRON : spectromètre optique autonome et portable 25/03/2022
  https://www.inrae-transfert.fr/pdf_files/LE_SPECTRON_:_SPECTROMETRE_OPTIQUE_AUTONOME_ET_PORTABLE.pdf
  
• [Brève web] Compteur de maturité des fruits dévoilé au Fruit Logistica 2022 22/03/2022
  https://www.freshplaza.fr/article/9411611/compteur-de-maturite-des-fruits-devoile-au-fruit-logistica-2022/
  
• [Brève web] Évaluation de la qualité des cerises, des tomates et des myrtilles à l'aide de duromètres 16/03/2022
  https://www.freshplaza.fr/article/9408944/evaluation-de-la-qualite-des-cerises-des-tomates-et-des-myrtilles-a-l-aide-de-durometres/
  
• [Thèse, mémoire] Conception innovante d’une méthode de fertilisation azotée : Articulation entre diagnostic des usages, ateliers participatifs et modélisation - Thèse soutenue le 10/02/2017 / RAVIER (F). 2017. - 210 p.
  https://tel.archives-ouvertes.fr/tel-02059334
  
• [Doc. électronique] Visible and near-infrared spectroscopy for the measurement of fresh-produce quality parameters / MISHRA (P). NL/UNIV WAGENINGEN, 2022. - 12 p.
  https://www.wur.nl/web/en/Research-Results/Research-Institutes/food-biobased-research/Solutions/Postharvest-quality-measurement/Whitepaper-Visible-and-near-infrared-spectroscopy.htm
  
• [Article] Non-destructive prediction of total soluble solids in strawberry using near infrared spectroscopy / AGULHEIRO SANTOS (A C) ; RICARDO RODRIGUES (S) ; LARANJO (M) ; MELGAO (C) ; VELAZQUEZ (R). 04/03/2022, vol. first online. - 22 p.
  https://onlinelibrary.wiley.com/doi/10.1002/jsfa.11849
  
• [Brève web] NIR spectroscopy to assess edible fruit coatings and maturity on kiwifruit 02/03/2022
  https://www.postharvest.biz/en/company/nir-spectroscopy-to-assess-edible-fruit-coatings-and-maturity-on-kiwifruit/_id:62863,seccion:news,noticia:79968/
  
• [Brève web] L'institut PlantTech étudie le stress des vergers de kiwis 21/02/2022
  https://www.freshplaza.fr/article/9391664/l-institut-planttech-etudie-le-stress-des-vergers-de-kiwis/
  
• [Brève web] Optical advantage for fruit quality research – State-of-the-art sorting line helps Washingtion State University researchers measure fruit quality / COURTNEY (R) ; MULLINAX (T J). 26/01/2021
  https://www.goodfruit.com/optical-advantage-for-fruit-quality-research/
  
• [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] Microwave nondestructive sensing of moisture content and water activity of almonds 2021, vol. 64, n° 4. - p. 1373-1379
  
• [Article] Hot screens impact on energy balance : stomatal sensor gives reliable insight into photosynthesis process / ARKESTEIJN (M). 2021, vol. 10, n° 3. - p. 14-15
  
• [Article] Arboriculture - Des outils pour déclencher les récoltes / BARGAIN (V). 2021, n° 417. - p. 26-27
  
• [Article] Non-destructive identification of internal watercore in apples based on online VIS/NIR spectroscopy / CHANG (H) ; WU (Q) ; TIAN (H) ; (et al.). 2020, vol. 63, n° 6. - p. 1711-1721
  
• [Article] Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM / LOWE (T) ; MOGHADAM (P) ; EDWARDS (E) ; WILLIAMS (J). 06/0102021, n° first online. - 21 p.
  
• [Article] Rapid measurement of potato canopy coverage and leaf area index inversion / CAI (L) ; ZHAO (Y) ; HUANG (Z) ; (et al.). 2020, vol. 36, n° 4. - p. 557-564
  
• [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] 3D characterization of walnut morphological traits using X‑ray computed tomography  / BERNARD (A) ; HAMDY (S) ; LE CORRE (L) ; DIRLEWANGER (E) ; LHEUREUX (F). 2020, vol. 16, n° Art 115. - 11 p.
  https://plantmethods.biomedcentral.com/articles/10.1186/s13007-020-00657-7
  
• [Article] Detecting bruise damage and level of severity in apples using a contactless NIR / NTURAMBIRWE (J F) ; NIEUWOUDT (H H) ; PEROLD (W J) ; OPARA (L U). 2020, vol. 36, n° 3. - p. 257-270
  
• [Article] Thermal properties of 'Gala' apples during growing season for predicting harvest time / CALISKAN AYDOGAN (O) ; YI (H) ; SCHUPP (J R) ; (et al.). 2020, vol. 63, n° 2. - p. 305-315
  
• [Article] Journée technique nationale prune : L'innovation au service de la qualité / WESTERCAMP (P) ; EL BOUKILI (C). Mai 2020, n° 361. - p. 6-13
  
• [Article] Ripeness determination cherries : experiences with ColourPin system / MUHLENZ (I). 2020, n° 2. - p. 10-11
  
• [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
  
• [Thèse, mémoire] Peut-on optimiser la productivité du pommier ? Développement d'un capteur d'images embarqué pour la prévision de rendement et l'aide à l'éclaircissage : MécaVision© / BORDIER (V). FR/CTIFL;FR/UNIV CAEN, 2019. - 29 p.
  
• [Article] Making sure peaches are peachy / MERTZ (L). 2019, vol. 70, n° 12. - p. 12-13
  https://www.goodfruit.com/making-sure-peaches-are-peachy/
  
• [Article] Measuring gene activity makes cultivation much easier / KIERKELS (T). 2019, vol. 8, n° 2. - p. 30-31
  
• [Article] LED per l’analisi in campo della maturazione degli acini / BEGHI (R) ; GIOVENZANA (V) ; TUGNOLO (A) ; (et al.). 2019, n° 22. - p. 41-43
  
• [Article] Development of high-speed dual-camera system for batch screening of aflatoxin contamination of corn using multispectral fluorescence imaging / HAN (D) ; YAO (H) ; HRUSKA (Z) ; (et al.). 2019, vol. 62, n° 2. - p. 381-391
  
• [Ouvrage] Fact Sheets GreenCHAINge - Vegetables and fruit 2019. - 35 p.
  https://www.wur.nl/upload_mm/d/9/5/df7b58e6-7b2c-4797-bb70-ede9bb5ee12e_Factsheets%20results%20GreenCHAINge.pdf
  
• [Article] Detection of surface and subsurface defects of apples using structured-illumination reflectance imaging with learning machine algorithms / LU (Y) ; LU (R). 2018, vol. 61, n° 6. - P. 1831-1842
  
• [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] Nitrates : Franprix joue avec le feu / BEAUTRU (A). 2018, n° 350. - p. 121
  
• [Article] Late and lucrative / COURTNEY (R). 2018, vol. 69, n° 14. - P 24-31
  
• [Article] A ball for berries / COURTNEY (R). 2018, vol. 69, n° 13. - P. 12-13
  https://www.goodfruit.com/a-high-tech-ball-for-berries/
  
• [Article] Évaluation de la maturité des pommes - DA-METER® : premiers résultats pertinents 2018, n° 722. - p. 10-11
  
• [Article] Application of accoustic emission and machine learning to detect codling moth infested apples / LI (M) ; EKRAMIRAD (N) ; RADY (A) ; ADEDEJI (A). 2018, vol. 61, n° 3. - P. 1157-1164
  
• [Article] Structured illuminated reflectance imaging for enhanced detection of subsurface tissue bruising in apples / LI (R) ; LU (Y) ; LU (R). 2018, vol. 61, n° 3. - P. 809-819
  
• [Article] Potential use of digital photographic technique to examine wild blueberry ripening in relation to time of harvest / ALI (S) ; ZAMAN (Q U) ; FAROOQUE (A A). 2018, vol. 34, n° 2. - P. 299-308
  
• [Article] Optimization of Leaf Area Estimation in a High-Density Apple Orchard Using Hemispherical Photography / KNERL (A) ; ANTHONY (B) ; SERRA (S) ; MUSACCHI (S). 2018, vol. 53, n° 6. - p. 799-804
  
• [Article] Pruneaux : calibre et prédiction de maturité / BAUMGARTNER (D) ; KOLLAART (S) ; LATTMANN (S) ; SCHNEIDER (K) ; VOLKAN (M) ; GASSER (F). 2018, vol. 50, n° 3. - p. 186-190
  
• [Article] Cinq outils pour analyser la maturité des pommes / LE CORRE (M). 2018, n° 384. - p. 46-47
  
• [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] Postharvest Dry Matter and Soluble Solids Content Prediction in d’Anjou and Bartlett Pear Using Near-infrared Spectroscopy / GOKE (A) ; SERRA (S) ; MUSACCHI (S). 2018, vol. 53, n° 5. - p. 669-680
  
• [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] Sensibilité aux meurtrissures des pommes - L'indice Sensifel© note des nouvelles variétés / VAYSSE (P) ; REYNIER (P). Avril 2018, n° 340. - p. 27-30
  
• [Article] Prediction of Firmness and pH for Golden Delicious Apple Based on Elasticity Index from Modal Analysis / HOU (J) ; ZHANG (Y) ; SUN (Y) ; XU (N) ; LENG (Y). 2018, vol. 83, n° 3. - p. 661-669
  
• [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] Multispectral Imaging for Plant Food Quality Analysis and Visualization / SU (W H) ; SUN (D W). 2018, vol. 17, n° 1. - p. 220-239
  
• [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] EFFECT OF LEAF AGE ON PHOTOSYNTHESIS CHLOROPHYLL CONTENT AND SPAD-502 LEAF GREENNESS MEASUREMENTS IN JEWEL STRAWBERRY / TAKEDA (F) ; TWORKOSKI (T). 1999, vol. 18. - P. 41-46
  
• [Thèse, mémoire] SELECTION DU FRAISIER : INTERET DE LA FLUORESCENCE CHLOROPHYLLIENNE POUR LA CONSERVATION / TRUBUIL (C). FR/ENITA, 1999. - 36 P. + ANN
  
• [Tiré à part] EVALUATION OF QUALITY PARAMETERS IN STRAWBERRY DURING CULTIVATION AND POSTHARVEST PROCESSES / ULRICH (D) ; SCHULZ (H) ; SANDKE (G) ; (et al.). 2000. - 1 P.
  
• [Article] PHENOTYPIC CORRELATIONS BETWEEN ROOT AND SHOOT TRAITS OF STRAWBERRY IN FUMIGATED AND NONFUMIGATED SOILS / FORT (S B) ; SHAW (D V). 1998, vol. 33, n° 2. - P. 222-224
  
• [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] DEVELOPMENT OF A MULTISPECTRAL STRUCTURED ILLUMINATION REFLECTANCE IMAGING (SIRI) SYSTEM AND ITS APPLICATION TO BRUISE DETECTION OF APPLES / LU (Y) ; LU (R). 2017, vol. 60, n° 4. - P. 1379-1389
  
• [Thèse, mémoire] ETUDE D’OUTILS NON DESTRUCTIFS DE SUIVI DE MATURITÉ SUR LA VARIÉTÉ GALA ET SES MUTANTS - MÉMOIRE MASTER 1 / DANTHOIS (E). FR/CTIFL, 2017. - 19 P.
  
• [Article] ARBORICULTURE DE PRECISION - REVOLUTIONS TECHNOLOGIQUES : L'UNIVERS DES POSSIBLES AU VERGER / KALUZNY PINON (L). 2017, n° 713. - P. 14-15
  
• [Congrès] X INTERNATIONAL SYMPOSIUM ON INTEGRATING CANOPY, ROOTSTOCK AND ENVIRONMENTAL PHYSIOLOGY IN ORCHARD SYSTEMS. MONTPELLIER (FR) : 02/06/2015 / COSTES (E) ; (ED). INT/ISHS, 2017, n° 1160. - CD
  ISBN 9789462611566
  
• [Article] HOW TO MEASURE HONEYCRISP QUALITIES / HANSEN (M). 2015, vol. 66, n° 2. - P. 12-13
  
• [Article] DETECTION OF APPLE MARSSONINA BLOTCH DISEASE USING PARTICLE SWARM OPTIMIZATION / SHUAIBU (M) ; LEE (W S) ; HONG (Y K) ; KIM (S). 2017, vol. 60, n° 2. - P. 303-312
  
• [Article] CORRELATION OF POST-HARVEST AVOCADO RIPENING PROCESS WITH THE THERMAL EMISSIVITY MEASURED FROM THE PEEL / VILLASENOR MORA (C) ; MARTINEZ TORES (P) ; GONZALEZ VEGA (A) ; (et al.). 2017, vol. 33, n° 2. - P. 267-272
  
• [Article] Évaluation non destructive de la maturité des pommes - Premiers résultats de l'outil DA-Meter® / CODARIN (S) ; ROCHE (L) ; VAYSSE (P) ; REYNIER (P) ; LUROL (S) ; MATHIEU HURTIGER (V) ; FELIZIANI (A). Mars 2017, n° 329. - p. 21-26
  
• [Article] NONDESTRUCTIVE APPLE RIPENING STAGE DETERMINATION USING THE DELTA ABSORBANCE METER AT HARVEST AND AFTER STORAGE / COCETTA (G) ; BEGHI (R) ; MIGNANI (I) ; SPINARDI (A). 2017, vol. 27, n° 1. - P. 54-64
  
• [Article] ANALYSIS OF PEAR DYNAMIC CHARACTERISTICS BASED ON HARMONIC REPONSE / ZHANG (W) ; CUI (D) ; LIU (Z) ; (et al.). 2016, vol. 59, n° 6. - P. 1905-1913
  
• [Article] EVALUATING SOIL TILLAGE PRACTICES USING X-RAY COMPUTED TOMOGRAPHY AND CONVENTIONAL LABORATORY METHODS / AMBERT SANCHEZ (M) ; MICKELSON (S K) ; AHMED (S I) ; (et al.). 2016, vol. 59, n° 2. - P. 455-463
  
• [Article] APPLICATIONS OF NEAR-INFRARED SYSTEMS FOR QUALITY EVALUATION OF FRUITS : A REVIEW / XIE (L J) ; WANG (A C) ; XU (H R) ; (et al.). 2016, vol. 59, n° 2. - P. 399-419
  
• [Article] A NEW AUTOMATIC METHOD FOR DISEASE SYMPTOM SEGMENTATION IN DIGITAL PHOTOGRAPHS OF PLANT LEAVES / BARBEDO (J G A). 2017, vol. 147, n° 2. - P. 349-364
  
• [Article] ESTIMATION OF THE DEGREE OF RED COLORATION IN FLESH OF A RED-FLESHED APPLE CULTIVAR KURENAI NO YUM' WITH A UV-VIS-NIR INTERACTIVE DEVICE / YE (X) ; ISHIOKA (S) ; ZHANG (S). 2017, vol. 124. - P. 128-136
  
• [Article] APPLICATION OF LOW-FIELD MRI FOR QUALITY ASSESSMENT OF CONFERENCE PEARS STORED UNDER CONTROLLED ATMOSPHERE CONDITIONS / SUCHANEK (M) ; KORDULSKA (M) ; OLEJNICZAK (Z) ; (et al.). 2017, vol. 124. - P. 100-106
  
• [Article] QUALITY EVALUATION OF WATERMELON USING LASER-INDUCED BACKSCATTERING IMAGING DURING STORAGE / ALI (M M) ; HASHIM (N) ; BEJO (S K) ; SHAMSUDIN (R). 2017, vol. 123. - P. 51-59
  
• [Article] SELECTING OPTIMAL WAVELENGTHS FOR DETECTION OF INFESTED TOMATOES BASED ON SIMCA-AIDED CFS ALGORITHM / MIREEI (S A) ; AMINI POZVEH (S) ; NAZERI (M). 2017, vol. 123. - P. 22-32
  
• [Article] POMME - BIO-AGRESSEURS A LA LOUPE / RUBIO (L) ; BRESSOLIER (A) ; KALUZNY PINON (L) ; (et al.). 2016, n° SPLT HS-25. - P. 3-15
  
• [Article] A MECANISTIC MODEL TO DESCRIBE THE EFFECTS OF TIME, TEMPERATURE AND EXOGENOUS ETHYLENE LEVELS ON SOFTENING OF KIWIFRUIT / HERTOG (M L) ; JEFFERY (P B) ; GWANPUA (S G) ; (et al.). 2016, vol. 121. - P. 143-150
  
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  ISBN 9789535110156
  
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