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A Survey of Robotic Harvesting Systems and Enabling Technologies [article]

Leonidas Droukas, Zoe Doulgeri, Nikolaos L. Tsakiridis, Dimitra Triantafyllou, Ioannis Kleitsiotis, Ioannis Mariolis, Dimitrios Giakoumis, Dimitrios Tzovaras, Dimitrios Kateris, Dionysis Bochtis
2022 arXiv   pre-print
Clearly, automated agriculture and specifically autonomous harvesting via robotic systems is a research area that remains wide open, offering several challenges where new contributions can be made.  ...  This paper reviews reported development of specific functionalities and hardware, typically required by an operating agricultural robot harvester; they include (a) vision systems, (b) motion planning/navigation  ...  Neural Network.  ... 
arXiv:2207.10457v2 fatcat:tf7dbkxayvfnregmwx5nmjyndy

D1.1 - State of the Art Analysis

Danilo Ardagna
2021 Zenodo  
Then, the deliverable provides a background on AI applications design, also considering some advanced design trends (e.g., Network Architecture Search, Federated Learning, Deep Neural Networks partitioning  ...  We then report an overview of the state-of-the-art of the solutions offered by the main cloud market players and the European providers.  ...  for recurrent neural networks.  ... 
doi:10.5281/zenodo.6372377 fatcat:f6ldfuwivbcltew4smiiwphfty

BigDataGrapes D8.5 - Evaluation Report and KPI Assessment

Aikaterini Kasimati
2020 Zenodo  
Deliverable D8.5, "Evaluation Report and KPI Assessment", is based on the individual Qualitative and Quantitative Evaluations of the following pilots: Table and Wine Grapes Pilot (AUA), Wine Making Pilot  ...  Information was directly provided by the pilot leaders to ensure the specificity of the guidelines and the smooth progress and evaluation of all piloting sessions.  ...  In particular, Recurrent Neural Networks (RNN) are a specific kind of neural network that learns the properties of sequences of objects to predict their evolution.  ... 
doi:10.5281/zenodo.4546328 fatcat:7qpn5zbfuzcfrdrsgrajh3sqee

Machine Learning in Agriculture: A Comprehensive Updated Review

Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, Remigio Berruto, Dimitrios Kateris, Dionysis Bochtis
2021 Sensors  
A plethora of machine learning algorithms were used, with those belonging to Artificial Neural Networks being more efficient.  ...  It is anticipated that this study will constitute a beneficial guide to all stakeholders towards enhancing awareness of the potential advantages of using machine learning in agriculture and contributing  ...  REPTree DT Reduced Error Pruning Tree RFC EL Randomizable Filtered Classifier Abbreviation RFR RNN Model EL, Regression ANN Random Forest Regression Model Recurrent Neural Network AdaBoost RQL ADT RF  ... 
doi:10.3390/s21113758 pmid:34071553 fatcat:moehdvs6efdpxpklidutmw2ary

Big Data and Machine Learning with Hyperspectral Information in Agriculture

Kenneth Li-minn Ang, Jasmine Kah Phooi Seng
2021 IEEE Access  
Hyperspectral and multispectral information processing systems and technologies have demonstrated its usefulness for the improvement of agricultural productivity and practices by providing useful information  ...  This paper is structured to first give a comprehensive review of representative studies to provide insights into significant research efforts in agriculture using Big data, machine learning and deep learning  ...  The authors in [3] focused on Big data and machine learning for crop protection.  ... 
doi:10.1109/access.2021.3051196 fatcat:hewivbzua5a27jotazlmqvps7i

Intelligent Edge-Embedded Technologies for Digitising Industry [chapter]

Ovidiu Vermesan, Mario Diaz Nava
2022 Intelligent Edge-Embedded Technologies for Digitising Industry  
Topics range from the theory and use of systems involving all terminals, computers, and information processors to wired and wireless networks and network layouts, protocols, architectures, and implementations  ...  The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  This work reflects only the author's view, JU, EU and BMBF are not responsible for any use that may be made of the information it contains.  ... 
doi:10.13052/rp-9788770226103 fatcat:mgz277pmkbetvbpoaomoktzgzi

Industrial Artificial Intelligence Technologies and Applications [chapter]

Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie
2022 Industrial Artificial Intelligence Technologies and Applications  
Topics range from the theory and use of systems involving all terminals, computers, and information processors to wired and wireless networks and network layouts, protocols, architectures, and implementations  ...  The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  COMET is managed by the Austrian Research Promotion Agency FFG. We acknowledge useful comments and assistance from our colleagues at Know-Center and at Infineon.  ... 
doi:10.13052/rp-9788770227902 fatcat:av7jjd4htbc7rez23jijfcayy4

3D segmentation and localization using visual cues in uncontrolled environments [article]

Hanz Cuevas Velasquez, University Of Edinburgh, Robert Fisher, Ram Ramamoorthy, Iain Murray
2022
The first approach presents a pipeline that combines the block matching algorithm for disparity estimation, an encoder-decoder neural network for semantic segmentation, and a refinement step that uses  ...  The second contribution provides a strategy for real-time rose pruning using visual servoing of a robotic arm and our previous approach.  ...  Here, the authors model a grape vine using multiple stereo cameras that surround the plant to find cutting points on stems.  ... 
doi:10.7488/era/2055 fatcat:fqdrkn3earadbk5zycoita34jy

Sustainable Development for Society, Industrial Development, Material, Energy and Environment: Key Issues, Opportunities and Challenges [article]

Santosh P Mane, Dr. Praveen G. Saptarshi, Dr. B. M. Bhanje, Prof. Dr. S. D. Shinde, Dr. F. M. Nadaf, Dr. H. B. Tipe, Dr. Sandeep Rout, Dr. Muhammad Yasir, Dr. Babalola Ayodele Samuel, N. Dr. Kavitha G.
2022 Zenodo  
2000) , Revegetation of lagoon ash using the legume species Acacia auriculiformis and Leucaena leucocephala, Environmental Pollution ,109, 75-82. 3. S. Gautam , A. Singh ,J. Singh and A.  ...  Data vineyards were harvested by hand to determine crop yields: yield per vine, clusters per grape, grape harvest yield, berries per cluster, and berry weight.  ...  With the evolution of the modern day technology like cloud computing, artificial neural network etc.  ... 
doi:10.5281/zenodo.6774871 fatcat:5pc4k47tqncvxh436yg5nftzca

Sofia, Institute of Information Theories and Applications FOI ITHEA-2007 15 th Anniversary of the Association of Developers and Users of Intelligent Systems

Kr Markov, Ed
2007 Proceedings of the Fifth International Conference "Information Research and Applications" i.TECH   unpublished
Let us thank the Program Committee of the conference for referring the submitted papers. Special thanks to prof. Viktor Gladun, prof. Alexey Voloshin, prof. Avram Eskenazi and prof.  ...  to express our thanks to all who support the i.TECH 2007 and especially to the Natural Computing Group (NCG) (http://www.lpsi.eui.upm.es/nncg/) of the Technical University of Madrid, which is leaded by  ...  Acknowledgment This work is supported by Deutsche Telekom Laboratories at Ben-Gurion University. Acknowledgments The author gratefully acknowledges Prof. Dr.  ... 
fatcat:4l4e2z5dongnrfa4lsggah64bu