iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.crossref.org/works/10.1016/J.COMPAG.2023.107691
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T15:55:40Z","timestamp":1726156540519},"reference-count":26,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers and Electronics in Agriculture"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1016\/j.compag.2023.107691","type":"journal-article","created":{"date-parts":[[2023,2,15]],"date-time":"2023-02-15T18:20:27Z","timestamp":1676485227000},"page":"107691","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":20,"special_numbering":"C","title":["ResDense-focal-DeepLabV3+ enabled litchi branch semantic segmentation for robotic harvesting"],"prefix":"10.1016","volume":"206","author":[{"given":"Hongxing","family":"Peng","sequence":"first","affiliation":[]},{"given":"Jingrun","family":"Zhong","sequence":"additional","affiliation":[]},{"given":"Huanai","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[]},{"given":"Muwu","family":"Yao","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"10","key":"10.1016\/j.compag.2023.107691_b0005","doi-asserted-by":"crossref","first-page":"13275","DOI":"10.1007\/s11042-021-10536-5","article-title":"Res2-UNeXt: a novel deep learning framework for few-shot cell image segmentation","volume":"81","author":"Chan","year":"2022","journal-title":"Multimed. Tools Appl."},{"issue":"4","key":"10.1016\/j.compag.2023.107691_b0010","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1109\/TPAMI.2017.2699184","article-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs","volume":"40","author":"Chen","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.compag.2023.107691_b0015","doi-asserted-by":"crossref","unstructured":"Chen, L.C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H., 2018. Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European conference on computer vision (ECCV), pp. 801-818.","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"10.1016\/j.compag.2023.107691_b0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2020.105508","article-title":"Three-dimensional perception of orchard banana central stock enhanced by adaptive multi-vision technology","volume":"174","author":"Chen","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2023.107691_b0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2021.106237","article-title":"3D global mapping of large-scale unstructured orchard integrating eye-in-hand stereo vision and SLAM","volume":"187","author":"Chen","year":"2021","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2023.107691_b0030","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-78831-7_63","article-title":"Automation in agriculture","volume":"1095\u20131128","author":"Edan","year":"2009","journal-title":"Springer Handbook of Automation"},{"key":"10.1016\/j.compag.2023.107691_b0040","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J., 2016. Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"10.1016\/j.compag.2023.107691_b0045","doi-asserted-by":"crossref","first-page":"29176","DOI":"10.1109\/ACCESS.2020.2971383","article-title":"AIDAN: an attention-guided dual-path network for pediatric echocardiography segmentation","volume":"8","author":"Hu","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.compag.2023.107691_b0050","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q., 2017. Densely connected convolutional networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4700-4708.","DOI":"10.1109\/CVPR.2017.243"},{"key":"10.1016\/j.compag.2023.107691_bib131","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, S., Van der Maaten, L., Weinberger, K.Q., 2018. Condensenet: An efficient densenet using learned group convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2752-2761.","DOI":"10.1109\/CVPR.2018.00291"},{"issue":"5","key":"10.1016\/j.compag.2023.107691_b0055","doi-asserted-by":"crossref","first-page":"1186","DOI":"10.1016\/j.compeleceng.2011.11.005","article-title":"Automatic recognition vision system guided for apple harvesting robot","volume":"38","author":"Ji","year":"2012","journal-title":"Comput. Electr. Eng."},{"key":"10.1016\/j.compag.2023.107691_b0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2020.105380","article-title":"Detection and segmentation of overlapped fruits based on optimized mask R-CNN application in apple harvesting robot","volume":"172","author":"Jia","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2023.107691_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2020.105450","article-title":"CNN feature based graph convolutional network for weed and crop recognition in smart farming","volume":"174","author":"Jiang","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2023.107691_b0070","doi-asserted-by":"crossref","unstructured":"Li, X., Li, J., Tang, J., 2018. A deep learning method for recognizing elevated mature strawberries. In: 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, pp. 1072-1077. https:\/\/doi.org\/10.1109\/YAC.2018.8406530.","DOI":"10.1109\/YAC.2018.8406530"},{"key":"10.1016\/j.compag.2023.107691_b0075","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Goyal, P., Girshick, R., He, K., Doll\u00e1r, P., 2017. Focal loss for dense object detection. In: Proceedings of the IEEE international conference on computer vision, pp. 2980-2988.","DOI":"10.1109\/ICCV.2017.324"},{"key":"10.1016\/j.compag.2023.107691_b0085","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T., 2015. Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3431-3440.","DOI":"10.1109\/CVPR.2015.7298965"},{"issue":"4","key":"10.1016\/j.compag.2023.107691_b0090","first-page":"345","article-title":"Litchi image segmentation algorithm based on sparse field level set","volume":"27","author":"Mao","year":"2011","journal-title":"Trans. Chinese Soc. Agric. Eng."},{"issue":"16","key":"10.1016\/j.compag.2023.107691_b0095","first-page":"155","article-title":"General improved SSD model for picking object recognition of multiple fruits in natural environment","volume":"34","author":"Peng","year":"2018","journal-title":"Transactions of the Chinese Society of Agricultural Engineering"},{"key":"10.1016\/j.compag.2023.107691_b0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2020.105933","article-title":"Canopy segmentation and wire reconstruction for kiwifruit robotic harvesting","volume":"181","author":"Song","year":"2021","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2023.107691_b0105","doi-asserted-by":"crossref","first-page":"510","DOI":"10.3389\/fpls.2020.00510","article-title":"Recognition and localization methods for vision-based fruit picking robots: A review","volume":"11","author":"Tang","year":"2020","journal-title":"Front. Plant Sci."},{"key":"10.1016\/j.compag.2023.107691_b0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2021.106210","article-title":"Medical image recognition and segmentation of pathological slices of gastric cancer based on Deeplab v3+ neural network","volume":"207","author":"Wang","year":"2021","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.compag.2023.107691_b0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2020.105469","article-title":"Integrated detection of citrus fruits and branches using a convolutional neural network","volume":"174","author":"Yang","year":"2020","journal-title":"Comput. Electron. Agric."},{"issue":"4","key":"10.1016\/j.compag.2023.107691_b0120","first-page":"555","article-title":"An improved focal loss function for semantic segmentation","volume":"40","author":"Yang","year":"2019","journal-title":"Semicond. Optoelectron."},{"key":"10.1016\/j.compag.2023.107691_b0125","doi-asserted-by":"crossref","unstructured":"Yu, C., Wang, J., Gao, C., Yu, G., Shen, C., Sang, N., 2020. Context prior for scene segmentation. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 12416-12425.","DOI":"10.1109\/CVPR42600.2020.01243"},{"key":"10.1016\/j.compag.2023.107691_bib132","unstructured":"Yuan, Y., Huang, L., Guo, J., Zhang, C., Chen, X., Wang, J., 2018. Ocnet: Object context network for scene parsing. arXiv preprint arXiv:1809.00916."},{"key":"10.1016\/j.compag.2023.107691_b0130","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.compag.2016.04.009","article-title":"Immature green citrus detection based on colour feature and sum of absolute transformed difference (SATD) using colour images in the citrus grove","volume":"124","author":"Zhao","year":"2016","journal-title":"Comput. Electron. Agric."}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169923000790?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169923000790?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,9,9]],"date-time":"2023-09-09T11:18:57Z","timestamp":1694258337000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169923000790"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":26,"alternative-id":["S0168169923000790"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2023.107691","relation":{},"ISSN":["0168-1699"],"issn-type":[{"value":"0168-1699","type":"print"}],"subject":[],"published":{"date-parts":[[2023,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"ResDense-focal-DeepLabV3+ enabled litchi branch semantic segmentation for robotic harvesting","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2023.107691","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107691"}}