Documents (Candidat mots-clés)

• [Article] Intelligent robots for fruit harvesting : recent developments and future challenges / ZHOU (H) ; WANG (X) ; AU (W) ; KANG (H) ; CHEN (C). 06/2022, n° first online 02/06/2022. - 52 p.
  https://link.springer.com/article/10.1007/s11119-022-09913-3 ; https://link.springer.com/content/pdf/10.1007/s11119-022-09913-3.pdf
  
• [Brève web] Le 31 mai, à 14h30 : « L'IA dans l'alimentation et l'automatisation des exploitations agricoles : l'avenir de l'agriculture et de la transformation » 05/05/2022
  https://www.freshplaza.fr/article/9424513/l-ia-dans-l-alimentation-et-l-automatisation-des-exploitations-agricoles-l-avenir-de-l-agriculture-et-de-la-transformation/
  
• [Article] Recognition of fruits and vegetables with similar-color background in natural environment : A survey / LV (J) ; XU (H) ; XU (L) ; (et al.). 03/05/2022, n° early view
  https://onlinelibrary.wiley.com/doi/10.1002/rob.22074?af=R
  
• [Article] "Identifier et hiérarchiser de nouveaux critères d'évaluation" 06/2017, n° 373. - p. 12
  
• [Brève web] Smart Orchard 2.0 – Progress underway in second season of sensor-packed apple blocks to understand how the emerging tech can benefit orchards / PRENGAMAN (K). 20/12/2021
  https://www.goodfruit.com/smart-orchard-2-0/
  
• [Article] Titec entre dans la high-tech / DUBON (G). 2021, n° 420. - p. 42-43
  https://www.reussir.fr/fruits-legumes/titec-entre-dans-la-high-tech
  
• [Article] Robotic harvesting of the occluded fruits with a precise shape and position reconstruction approach / GONG (L) ; WANG (W) ; WANG (T) ; LIU (C). 08/10/2021, n° early view . - 16 p.
  https://onlinelibrary.wiley.com/doi/10.1002/rob.22041?af=R
  
• [Article] Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning / WANG (D) ; HE (D). 2021, vol. 210. - p. 271-281
  https://www.sciencedirect.com/science/article/abs/pii/S1537511021001999?dgcid=rss_sd_all
  
• [Article] Evolutions in imaging / PRENGAMAN (K). 2021, vol. 72, n° 13. - p. 36-43
  https://www.goodfruit.com/evolutions-in-imaging/
  
• [Article] Seeing things in a different light / COURTNEY (R). 2020, vol. 71, n° 7. - p. 12-15
  https://www.goodfruit.com/seeing-things-in-a-different-light/
  
• [Article] Discrimination of pepper seed varieties by multispectral imaging combined with machine learning / LI (X) ; FAN (X) ; ZHAO (L) ; (et al.). 2020, vol. 36, n° 5. - p. 743-749
  
• [Article] Siritool : A MATLAB graphical user interface for image analyse in structured-illumination reflectance imaging for fruit defect detection / LU (Y) ; LU (R). 2020, vol. 63, n° 4. - p. 1037-1047
  
• [Article] Éclaircissage mécanique du pommier assisté par analyse d’image - Technologie innovante pour une arboriculture productive et écologique / VAYSSE (P) ; MATHIEU (V) ; REYNIER (P) ; ROCHE (L) ; CODARIN (S) ; LAVIALLE (O) ; (et al.). 2013, vol. 30. - p. 209-217
  
• [Article] Agriculture de précision - L'imagerie agronomique pour mieux piloter son verger / BOSI (B). 12/2019, n° HS 31. - p. 12-13
  
• [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
  
• [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] A novel method of maize leaf disease image identification based on a multichannel convolutional neural network / LIN (Z) ; MU (S) ; SHI (A). 2018, vol. 61, n° 5. - P. 1461-1474
  
• [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] Intensive screening promotes transpiration from the top / RODENBURG (J). 2018, vol. 7, n° 2. - P. 12-13
  
• [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] Quale futuro per l'impiego dei droni in agricoltura / MARINELLO (F) ; GATTO (S) ; SARTORI (L). 2017, n° 39. - P. 54-57
  
• [Article] SENSORS KEY TO ADVANCES IN PRECISION AGRICULTURE / BOGUE (R). 2017, vol. 37, n° 1. - P. 1-6
  
• [Article] IMAGE SEGMENTATION FOR FRUIT DETECTION AND YIELD ESTIMATION IN APPLE ORCHARDS / BARGOTI (S) ; UNDERWOOD (J P). 2017, vol. 34, n° 6. - P. 1039-1060
  
• [Article] "HELP FROM ABOVE" 2016, vol. 30, n° 4. - P. 18-19
  
• [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] STRUCTURED-ILLUMINATION REFLECTANCE IMAGING (SIRI) FOR ENHANCED DETECTION OF FRESH BRUISES IN APPLES / LU (Y) ; LI (R) ; LU (R). 2016, vol. 117. - P. 89-93
  
• [Article] NON-DESTRUCTIVE IDENTIFICATION OF MEALY APPLES USING BIOSPECKLE IMAGING / AREFI (A) ; MOGHADDAM (P A) ; HASSANPOUR (A) ; (et al.). 2016, vol. 112. - P. 266-276
  
• [Article] MULTISPECTRAL FLUORESCENCE IMAGING TECHNIQUE FOR DISCRIMINATION OF CUCUMBER SEED VIABILITY / MO (C) ; KIM (M S) ; LIM (J) ; (et al.). 2015, vol. 58, n° 4. - P. 959-968
  
• [Article] NON-DESTRUCTIVE 1H-MRI ASSESSMENT OF FLESH BRUISING IN AVOCADO (PERSEA AMERICANA M.) CV. HASS / MAZHAR (M) ; JOYCE (D) ; COWIN (G) ; (et al.). 2015, vol. 100. - P. 33-40
  
• [Article] IMPROVING THE PRECISION OF IRRIGATION IN A PISTACHIO FARM USING AN UNMANNED AIRBORNE THERMAL SYSTEM 2014, vol. 28, n° 4. - P. 36-37
  
• [Article] AN AUTOMATIC METHOD TO DETECT AND MEASURE LEAF DISEASE SYMPTOMS USING DIGITAL IMAGE PROCESSING / GARCIA (J) ; BARBEDO (A). 2014, vol. 98, n° 12. - P. 1709-1716
  
• [Article] REALISER LE DIAGNOSTIC AZOTE ET SANITAIRE DES PLANTES - TEST DE L'IMAGERIE DE FLUORESCENCE DE LA CHLOROPHYLLE SUR LAITUE / JULHIA (L) ; RAYNAL LACROIX (C) ; BINGHAL (I). 2014, n° 301. - P. 60-65
  
• [Article] EXAMINATION OF THE QUALITY OF SPINACH LEAVES USING HYPERSPECTRAL IMAGING / DIEZMA (B) ; LLEO (L) ; ROGER (J M) ; (et al.). 2013, vol. 85. - P. 8-17
  
• [Article] DIRECT NON-THERMAL PLASMA TREATMENT FOR THE SANITATION OF FRESH CORN SALAD LEAVES - EVALUATION OF PHYSICAL AND PHYSIOLOGICAL EFFECTS AND ANTIMICROBIAL EFFICACY / BAIER (M) ; FOERSTER (J) ; SCHNABEL (U) ; (et al.). 2013, vol. 84. - P. 81-87
  
• [Article] DETECTION OF CUTICLE DEFECTS ON CHERRY TOMATOES USING HYPERSPECTRAL FLUORESCENCE IMAGERY / CHO (B K) ; KIM (M S) ; BAEK (I S) ; (et al.). 2013, vol. 76. - P. 40-49
  
• [Article] ESTIMATION OF LEAF WATER POTENTIAL BY THERMAL IMAGERY AND SPATIAL ANALYSIS / COHEN (Y) ; ALCHANATIS (V) ; MERON (M) ; SARANGA (Y) ; TSIPRIS (J). 2005, vol. 56, n° 417. - P. 1843-1852
  
• [Article] USING IMAGE PROCESSING AND ANALYSIS TECHNIQUES FOR COUNTING APPLE FRUITS IN THE ORCHARD / STAJNKO (D) ; LAKOTA (M). 2001, vol. 28, n° 3. - P. 95-99
  
• [Article] COMPARISON OF AIRBORNE MULTISPECTRAL AND HYPERSPECTRAL IMAGERY FOR YIELD ESTIMATION / YANG (C) ; EVERITT (J H) ; BRADFORD (J M). 2007, n° 071058. - 13 P.
  
• [Article] LES FRUITS ET LEGUMES DANS LA CHAINE DE DISTRIBUTION - L'IMAGERIE INFRAROUGE : UN OUTIL D'IDENTIFICATION THERMIQUE / MERENDET (V) ; MORAS (P) ; LETANG (G) ; BON (G) ; ANNIBAL (S). 2006, n° 227. - P. 21-26
  
• [Article] NOUVELLES TECHNOLOGIES : POUR UNE AGRICULTURE DE PRECISION. DOSSIER / IVALDI (M) ; PORTIER (M). 2006, n° 249. - P. 44-52
  
• [Article] USE OF DIGITAL IMAGES FOR EVALUATIONS OF FACTORS RESPONSIBLE VOR VISUAL PREFERENCE OF APPLES BY CONSUMERS / CLIFF (M) ; SANFORD (K) ; WISMER (W) ; HAMPSON (C). 2002, vol. 37, n° 7. - P. 1127-1131
  
• [Tiré à part] IMAGES 1992, n° 1. - P. 3-48
  

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