[
ACCENTURE. 2017. The Future of Food: New Realities for the Industry. Available at: https://www.accenture.com/us-en/_acnmedia/pdf-70/accenture-future-of-food-new-realities-for-the-industry.pdf
]Search in Google Scholar
[
ALIASGARIAN, S. – GHASSEMZADEH, H. R. – MOGHADDAM, M. – GHAFFARI, H.2015. Mechanical damage of strawberry during harvest and postharvest operations. In Acta Technologica Agriculturae, vol. 18, no. 1, pp. 1–5.
]Search in Google Scholar
[
AYRE, M. – MC COLLUM, V. – WATERS, W. – SAMSON, P. – CURRO, A. – NETTLE, R. – PASCHEN, J. A. – KING, B. – REICHELT, N. 2019. Supporting and practising digital innovation with advisers in smart farming. In NJAS – Wageningen Journal of Life Sciences, vol. 90–91, no. December, pp. 100302.
]Search in Google Scholar
[
BRONSON, K. 2019. Looking through a responsible innovation lens at uneven engagements with digital farming. In NJAS – Wageningen Journal of Life Sciences, vol. 90–91, no. December, pp. 100294.
]Search in Google Scholar
[
CVIKLOVIČ, V. – OLEJÁR, M. – HRUBÝ, D. – PALKOVÁ, Z. – LUKÁČ, O. – HLAVÁČ, P. 2016. Navigation algorithm using fuzzy control method in mobile robotics. In Acta Technologica Agriculturae, vol. 19, no. 1, pp. 19–23.
]Search in Google Scholar
[
DORWARD, A. 2013. Agricultural labour productivity, food prices and sustainable development impacts and indicators. In Food Policy, vol. 39, pp. 40–50.
]Search in Google Scholar
[
FAO. 2012. Global Agriculture Towards 2050. Available at: http://www.fao.org/fileadmin/templates/esa/Global_persepctives/world_ag2030502012_rev.pdf
]Search in Google Scholar
[
FAO. 2017. The Future of Food and Agriculture – Trends and Challenges. Rome, 163 pp.
]Search in Google Scholar
[
GARNER, J. P. – MEEHAN, C. L. – FAMULA, T. R.– MENCH, J. A. 2006. Genetic, environmental, and neighbor effects on the severity of stereotypies and feather picking in Orange–winged Amazon parrots (Amazona amazonica): An epidemiological study. In Applied Animal Behaviour Science, vol. 96, no. 1–2, pp. 153–68.
]Search in Google Scholar
[
KAMATA, T. – ROSHANIANFARD, A. – NOGUCHI, N. 2018. Heavyweight crop harvesting robot – controlling algorithm. In IFAC– PapersOnLine, vol. 51, no 17, pp. 244–49.
]Search in Google Scholar
[
KASHKAROV, A. – DIORDIIEV, V. – SABO, A. – NOVIKOV, G. 2018. Semi-autonomous drone for agriculture on the tractor base. In Acta Technologica Agriculturae, vol. 21, no. 4, pp. 149–52.
]Search in Google Scholar
[
KLERKX, L. – JAKKU, E. – LABARTHE, P. 2019. A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda, In NJAS – Wageningen Journal of Life Sciences, vol. 90–91, pp. 100315.
]Search in Google Scholar
[
LI, Z. – MIAO, F. – YANG, Z. – WANG, H. 2019. An anthropometric study for the anthropomorphic design of tomato-harvesting robots. In Computers and Electronics in Agriculture, vol. 163, no. December, pp. 104881.
]Search in Google Scholar
[
LIU, Y. – NOGUCHI, N. – ROSHANIANFARD, A. 2017. Simulation and test of an agricultural unmanned airboat maneuverability model. In International Journal of Agricultural and Biological Engineering, vol. 10, no. 1 pp. 88–96.
]Search in Google Scholar
[
LUO, L. – TANG, Y. – LU, Q. – CHEN, X. – ZHANG, P. – ZOU, X. 2018. A vision methodology for harvesting robot to detect cutting points on peduncles of double overlapping grape clusters in a vineyard. In Computers in Industry, vol. 99, pp. 130–139.
]Search in Google Scholar
[
LV, J. – WANG, Y. – XU, L. – GU, Y. – ZOU, L. – YANG, B. – MA, Z. 2019. A method to obtain the near-large fruit from apple image in orchard for single-arm apple harvesting robot. In Scientia Horticulturae, vol. 257, no 17, pp. 108758.
]Search in Google Scholar
[
MARINOUDI, V. – SØRENSEN, C. G. – PEARSON, S. – BOCHTIS, D. 2019. Robotics and labour in agriculture. A context consideration. In Biosystems Engineering, vol. 184, pp. 111–21.
]Search in Google Scholar
[
OKTEM, A. 2008. Effect of water shortage on yield, and protein and mineral compositions of drip-irrigated sweet corn in sustainable agricultural systems. In Agricultural Water Management, vol. 95, no. 9, pp. 1003–1010.
]Search in Google Scholar
[
ROSHANIANFARD, A. 2018. Development of a Harvesting Robot for Heavy-Weight Crop, Ph.D. Thesis, Hokkaido University.10.1016/j.ifacol.2018.08.200
]Search in Google Scholar
[
ROSHANIANFARD, A. – KAMATA, T. – NOGUCHI, N. 2018. Performance evaluation of harvesting robot for heavy-weight crops. In IFAC– PapersOnLine, vol. 51, no. 17 pp. 332–338.
]Search in Google Scholar
[
ROSHANIANFARD, A. – NOGUCHI, N. 2016. Development of a 5DOF robotic arm (RAVebots–1) applied to heavy products harvesting. In IFAC – Papers OnLine, vol. 49, no. 16, pp. 155–160.
]Search in Google Scholar
[
ROSHANIANFARD, A. – NOGUCHI, N. 2017. Development of heavy-weight crops robotic harvesting system (HCRHS). In The 3rd International Conference on Control, Automation and Robotics (ICCAR 2017). Tokyo, Japan.
]Search in Google Scholar
[
ROSHANIANFARD, A. – NOGUCHI, N. 2018a. Characterization of pumpkin for a harvesting robot. In IFAC – Papers OnLine, vol. 51, no. 17, pp. 23–30.
]Search in Google Scholar
[
ROSHANIANFARD, A. – NOGUCHI, N. 2018b. Kinematics analysis and simulation of a 5DOF articulated robotic arm applied to heavy products harvesting. In Tarim Bilimleri Dergisi, vol. 24, no. 1, pp. 91–104.
]Search in Google Scholar
[
ROSHANIANFARD, A. – NOGUCHI, N. – OKAMOTO, H. – ISHII, K. 2020. A review of autonomous agricultural vehicles (the experience of Hokkiado University). In Journal of Terramechanics, vol. 91, pp. 155–183.
]Search in Google Scholar
[
ROSHANIANFARD, A. – NOGUCHI, N. – KAMATA, T. 2019. Design and performance of a robotic arm for farm use. In International Journal of Agricultural and Biological Engineering, vol. 12, no. 1, pp. 146–158.
]Search in Google Scholar
[
SHIBUSAWA, S. 2018. Digital farming approach changes the context. In IFAC–PapersOnLine, vol. 51, no. 17, pp. 67–69.
]Search in Google Scholar
[
WANG, H. – NOGUCHI, N. 2019. Navigation of a robot tractor using the centimeter level augmentation information via Quasi-Zenith Satellite System. In Engineering in Agriculture, Environment and Food, vol. 12, pp. 414–419.
]Search in Google Scholar
[
WILLIAMS, H. A. M. – JONES, M. H. – NEJATI, M. – SEABRIGHT, M. J. – BELL, J. – PENHALL, N. D. – BARNETT, J. J. – DUKE, M. D. – SCARFE, A. J. – AHN, H. S. – LIM, J. – MACDONALD, B. A. 2019. Robotic kiwifruit harvesting using machine vision, convolutional neural networks, and robotic arms. In Biosystems Engineering, vol. 181, pp. 140–156.
]Search in Google Scholar
[
XIONG, Y. – PENG, C. – GRIMSTAD, L. – FROM, P. J. – ISLER, V. 2019. Development and field evaluation of a strawberry harvesting robot with a cable-driven gripper. In Computers and Electronics in Agriculture, vol. 157, pp. 392–402.
]Search in Google Scholar
[
ZHANG, Z. – NOGUCHI, N. – ISHII, K. – YANG, L. – ZHANG, C. 2013. Development of a robot combine harvester for wheat and paddy harvesting. In IFAC Proceedings Volumes, vol. 46, no. 4, pp. 45–48.
]Search in Google Scholar
