221 lines
7.9 KiB
BibTeX
221 lines
7.9 KiB
BibTeX
@article{abattoir_robotisation,
|
|
author = {Ian {de Medeiros Esper} and Pål J. From and Alex Mason},
|
|
title = {Robotisation and intelligent systems in abattoirs},
|
|
journal = {"Trends in Food Science \& Technology"},
|
|
volume = {108},
|
|
pages = {214-222},
|
|
year = {2021},
|
|
doi = {https://doi.org/10.1016/j.tifs.2020.11.005}
|
|
}
|
|
|
|
@article{agri_blockchain,
|
|
author = {Samant Saurabh and Kushankur Dey},
|
|
title = {Blockchain technology adoption, architecture, and sustainable agri-food supply chains},
|
|
journal = {Journal of Cleaner Production},
|
|
volume = {284},
|
|
pages = {124731},
|
|
year = {2021},
|
|
doi = {https://doi.org/10.1016/j.jclepro.2020.124731}
|
|
}
|
|
|
|
@article{biomass_sensing,
|
|
author = {Chen, Yun and Guerschman, Juan and Shendryk, Yuri and Henry, Dave and Harrison, Matthew Tom},
|
|
title = {Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning},
|
|
journal = {Remote Sensing},
|
|
volume = {13},
|
|
year = {2021},
|
|
number = {4},
|
|
article-number = {603},
|
|
doi = {10.3390/rs13040603}
|
|
}
|
|
|
|
@article{citrus_orchards,
|
|
author = {Osco, Lucas Prado
|
|
and Nogueira, Keiller
|
|
and Marques Ramos, Ana Paula
|
|
and Faita Pinheiro, Mayara Maezano
|
|
and Furuya, Danielle Elis Garcia
|
|
and Gon{\c{c}}alves, Wesley Nunes
|
|
and de Castro Jorge, Lucio Andr{\'e}
|
|
and Marcato Junior, Jos{\'e}
|
|
and dos Santos, Jefersson Alex},
|
|
title = {Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery},
|
|
journal = {Precision Agriculture},
|
|
year = {2021},
|
|
month = {Jan},
|
|
day = {02},
|
|
doi = {10.1007/s11119-020-09777-5}
|
|
}
|
|
|
|
@article{cropdeep,
|
|
author = {Zheng, Yang-Yang and Kong, Jian-Lei and Jin, Xue-bo and Wang, Xiao-Yi and Zuo, Min},
|
|
year = {2019},
|
|
month = {03},
|
|
pages = {1058},
|
|
title = {CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture},
|
|
volume = {19},
|
|
journal = {Sensors},
|
|
doi = {10.3390/s19051058}
|
|
}
|
|
|
|
@article{deepl_vine,
|
|
author = {Aguiar, André Silva and Monteiro, Nuno Namora and Santos, Filipe Neves dos and Solteiro Pires, Eduardo J. and Silva, Daniel and Sousa, Armando Jorge and Boaventura-Cunha, José},
|
|
title = {Bringing Semantics to the Vineyard: An Approach on Deep Learning-Based Vine Trunk Detection},
|
|
journal = {Agriculture},
|
|
volume = {11},
|
|
year = {2021},
|
|
number = {2},
|
|
article-number = {131},
|
|
doi = {10.3390/agriculture11020131}
|
|
}
|
|
|
|
@article{electroop_sensors,
|
|
author = {Fahey, Thomas and Pham, Hai and Gardi,Alessandro and Sabatini, Roberto and Stefanelli, Dario and Goodwin, Ian and Lamb, David William},
|
|
title = {Active and Passive Electro-Optical Sensors for Health Assessment in Food Crops},
|
|
journal = {Sensors},
|
|
volume = {21},
|
|
year = {2021},
|
|
number = {1},
|
|
article-number = {171},
|
|
doi = {10.3390/s21010171}
|
|
}
|
|
|
|
@article{from_ind_to_agr,
|
|
author = {Y. {Liu} and X. {Ma} and L. {Shu} and G. P. {Hancke} and A. M. {Abu-Mahfouz}},
|
|
journal = {IEEE Transactions on Industrial Informatics},
|
|
title = {From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges},
|
|
year = {2021},
|
|
volume = {17},
|
|
number = {6},
|
|
pages = {4322-4334},
|
|
doi = {10.1109/TII.2020.3003910}
|
|
}
|
|
|
|
@article{future_of_digi_ag,
|
|
author = {S. {Fountas} and B. {Espejo-García} and A. {Kasimati} and N. {Mylonas} and N. {Darra}},
|
|
journal = {IT Professional},
|
|
title = {The Future of Digital Agriculture: Technologies and Opportunities},
|
|
year = {2020},
|
|
volume = {22},
|
|
number = {1},
|
|
pages = {24-28},
|
|
doi = {10.1109/MITP.2019.2963412}
|
|
}
|
|
|
|
@article{iot_survey,
|
|
author = {M. S. {Farooq} and S. {Riaz} and A. {Abid} and K. {Abid} and M. A. {Naeem}},
|
|
journal = {IEEE Access},
|
|
title = {A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming},
|
|
year = {2019},
|
|
volume = {7},
|
|
pages = {156237-156271},
|
|
doi = {10.1109/ACCESS.2019.2949703}
|
|
}
|
|
|
|
@article{maturity_learning,
|
|
author = {Garillos-Manliguez, Cinmayii A. and Chiang, John Y.},
|
|
title = {Multimodal Deep Learning and Visible-Light and Hyperspectral Imaging for Fruit Maturity Estimation},
|
|
journal = {Sensors},
|
|
volume = {21},
|
|
year = {2021},
|
|
number = {4},
|
|
article-number = {1288},
|
|
doi = {10.3390/s21041288}
|
|
}
|
|
|
|
@article{pest_detection,
|
|
author = { V. Malathi and M. P. Gopinath },
|
|
title = {Classification of pest detection in paddy crop based on transfer learning approach},
|
|
journal = {Acta Agriculturae Scandinavica, Section B — Soil \& Plant Science},
|
|
pages = {1-8},
|
|
year = {2021},
|
|
doi = {10.1080/09064710.2021.1874045}
|
|
}
|
|
|
|
@article{pome_robots,
|
|
author = {Verbiest, Rafaël and Ruysen, Kris and Vanwalleghem, Tanja and Demeester, Eric and Kellens, Karel},
|
|
title = {Automation and robotics in the cultivation of pome fruit: Where do we stand today?},
|
|
journal = {Journal of Field Robotics},
|
|
pages = {},
|
|
keywords = {agriculture, automated cultivation, mobile manipulation, orchard tasks, pome fruit},
|
|
doi = {https://doi.org/10.1002/rob.22000}
|
|
}
|
|
|
|
@article{robot_economics,
|
|
author = {Lowenberg-DeBoer, James and Huang, Iona Yuelu and Grigoriadis, Vasileios and Blackmore, Simon},
|
|
title = {Economics of robots and automation in field crop production},
|
|
journal = {Precision Agriculture},
|
|
year = {2020},
|
|
month = {Apr},
|
|
day = {01},
|
|
volume = {21},
|
|
number = {2},
|
|
pages = {278-299},
|
|
doi = {10.1007/s11119-019-09667-5}
|
|
}
|
|
|
|
@article{smart_agr_surv,
|
|
author = {X. {Yang} and L. {Shu} and J. {Chen} and M. A. {Ferrag} and J. {Wu} and E. {Nurellari} and K. {Huang}},
|
|
journal = {IEEE/CAA Journal of Automatica Sinica},
|
|
title = {A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges},
|
|
year = {2021},
|
|
volume = {8},
|
|
number = {2},
|
|
pages = {273-302},
|
|
doi = {10.1109/JAS.2020.1003536}
|
|
}
|
|
|
|
@article{smart_to_unmanned,
|
|
author = {Wang, Tan and Xu, Xianbao and Wang, Cong and Li, Zhen and Li, Daoliang},
|
|
title = {From Smart Farming towards Unmanned Farms: A New Mode of Agricultural Production},
|
|
journal = {Agriculture},
|
|
volume = {11},
|
|
year = {2021},
|
|
number = {2},
|
|
article-number = {145},
|
|
doi = {10.3390/agriculture11020145}
|
|
}
|
|
|
|
@article{Sparrow2020,
|
|
author = {Robert Sparrow and Mark Howard},
|
|
title = {"Robots in agriculture: prospects, impacts, ethics, and policy"},
|
|
journal = {Precision Agriculture},
|
|
year = {2020},
|
|
month = {Oct},
|
|
day = {23},
|
|
doi = {10.1007/s11119-020-09757-9}
|
|
}
|
|
|
|
@article{strawberry_diseases,
|
|
author = {Xiao, Jia-Rong and Chung, Pei-Che and Wu, Hung-Yi and Phan, Quoc-Hung and Yeh, Jer-Liang Andrew and Hou, Max Ti-Kuang},
|
|
title = {Detection of Strawberry Diseases Using a Convolutional Neural Network},
|
|
journal = {Plants},
|
|
volume = {10},
|
|
year = {2021},
|
|
number = {1},
|
|
article-number = {31},
|
|
doi = {10.3390/plants10010031}
|
|
}
|
|
|
|
|
|
@article{tobacco_sprayer,
|
|
author = {M. {Tufail} and J. {Iqbal} and M. I. {Tiwana} and M. S. {Alam} and Z. A. {Khan} and M. T. {Khan}},
|
|
journal = {IEEE Access},
|
|
title = {Identification of Tobacco Crop Based on Machine Learning for a Precision Agricultural Sprayer},
|
|
year = {2021},
|
|
volume = {9},
|
|
pages = {23814-23825},
|
|
doi = {10.1109/ACCESS.2021.3056577}
|
|
}
|
|
|
|
@article{vine_yield,
|
|
author = {P. {Kurtser} and O. {Ringdahl} and N. {Rotstein} and R. {Berenstein} and Y. {Edan}},
|
|
journal = {IEEE Robotics and Automation Letters},
|
|
title = {In-Field Grape Cluster Size Assessment for Vine Yield Estimation Using a Mobile Robot and a Consumer Level RGB-D Camera},
|
|
year = {2020},
|
|
volume = {5},
|
|
number = {2},
|
|
pages = {2031-2038},
|
|
doi = {10.1109/LRA.2020.2970654}
|
|
}
|