Documents (Candidat mots-clés)

• [Article] HOB-CNN : Hallucination of occluded branches with a convolutional neural network for 2D fruit trees / CHEN (Z) ; GRANLAND (K) ; NEWSBURY (R) ; CHEN (C). 2023, vol. 3. - Article 100096 11 p.
  https://www.sciencedirect.com/science/article/pii/S2772375522000612
  
• [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
  
• [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] Crop stem detection and tracking for precision hoeing using deep learning / LAC (L) ; DA COSTA (J P) ; DONIAS (M) ; KERESZTES (B) ; BARDET (A). 2022, vol. 192. - Article 106606 10 p.
  https://www.sciencedirect.com/science/article/pii/S0168169921006232
  
• [Article] Intelligent intra-row robotic weeding system combining deep learning technology with a targeted weeding mode / QUAN (L) ; JIANG (W) ; LI (H) ; (et al.). 04/2022, vol. 216. - p. 13-31
  https://www.sciencedirect.com/science/article/abs/pii/S1537511022000265
  
• [Brève web] Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques 2022
  https://www.hindawi.com/journals/mpe/2022/9210947/
  
• [Article] Precision Irrigation Management Using Machine Learning and Digital Farming Solutions / ABIOYE (E A) ; HENSEL (O) ; ESAU (T J) ; ELIJAH (O) ; (et al.). 2022, vol. 4, n° 1. - p. 70-103
  https://www.mdpi.com/2624-7402/4/1/6
  
• [Article] Geometry-aware fruit grasping estimation for robotic harvesting in apple orchards / WANG (X) ; KANG (H) ; ZHOU (H) ; AU (W) ; CHEN (C). 2022, vol. 193. - Article 106716 9 p.
  https://www.sciencedirect.com/science/article/abs/pii/S0168169922000333
  
• [Article] Architectures et dynamiques racinaires : les méthodes et outils de leur étude / BEAUCHENE (K). 11/2021, n° 493. - p. 35-38
  
• [Article] A Tactile-enabled Grasping Method for Robotic Fruit Harvesting / ZHOU (H) ; WANG (X) ; KANG (H) ; CHEN (C). 18/10/2021, n° early view. - 7 p.
  https://arxiv.org/pdf/2110.09051.pdf
  
• [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] Using an improved YOLOv4 deep learning network for accurate detection of whitefly and thrips on sticky trap images / WANG (D) ; WANG (Y) ; LI (M) ; (et al.). 2021, vol. 64, n° 3. - p. 919-927
  
• [Article] DeepPhenology : Estimation of apple flower phenology distributions based on deep learning / WANG (X) ; TANG (J) ; WHITTY (M). 2021, vol. 185, n° Art 106123 . - 15 p.
  
• [Article] Computer vision‐based tree trunk and branch identification and shaking points detection in Dense‐Foliage canopy for automated harvesting of apples / ZHANG (Z) ; KARKEE (M) ; ZHANG (Q) ; WHITING (M D). 09/11/2020, n° first online. - 18 p.
  

Documents liés : [14 document(s)]