Application of robotics in changing the future of agriculture

Authors

  • Abhijit Khadatkar ICAR-Central Institute of Agricultural Engineering, Bhopal-462038
  • C R Mehta ICAR-Central Institute of Agricultural Engineering, Bhopal-462038
  • C P Sawant ICAR-Central Institute of Agricultural Engineering, Bhopal-462038

DOI:

https://doi.org/10.5958/2582-2683.2022.00010.7

Keywords:

Agricultural Robotics, IoT, Artificial Intelligence, Machine Learning, Precision Agriculture

Abstract

Agricultural production system has witnessed drastic changes in the last few decades with advancements in robotics and artificial intelligence based technologies. Scarcity of labour during peak cropping season has also highlighted the need for an alternative option for safe and sustainable agricultural system using IoT, machine learning and robotics for carrying out agricultural operations. Augmented use of electronics and computer application has made the working of robotic system possible for various field operations viz. transplanting, harvesting, and interculture, etc. for agricultural as well as horticultural crops. These technologies can be integrated with vision based system and GPS for more precise application. Robotic transplanter for transplanting plug-type seedlings may be a good option for future agriculture. It can use robotic arm, manipulator and an end-effector to perform the operation by using computer vision and motion planning algorithm or an artificial intelligence system. The application of robotics will help in various field operations for movement, localization, capturing, targeting and moving to the next target using drones for addressing spatial as well as temporal management of crops. Same operation can be used in spraying, weeding as well as harvesting of fruits. However, the robotic technology seems to be at nascent stage and there is a need to adopt these technologies due to non-availability of labour and their higher wages and to ensure timeless in field operations. Although many research attempts have been made for development of robots for agriculture application, more research should be focused towards the development of next generation robots for difficult and labourious farm operations. 

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References

Amatya, S., Karkee, M., Gongal, A., Zhang, Q., and Whiting, M.D., 2016. Detection of cherry tree branches with full foliage in planar architecture for automated sweet-cherry harvesting. Biosystems Engineering 146: 3-15. https:// doi.org/10.1016/j.biosystemseng.2015.10.003

Bechar, A. and Vigneault, C., 2016. Agricultural robots for field operations: Concepts and components. Biosystems Engineering 149: 94-111. http://dx.doi.org/10.1016/ j.biosystemseng.2016.06.014

Choi, W.C., Kim, D.C., Ryu, I.H., and Kim, K.U., 2002. Development of a seedling pick-up device for vegetable transplanters. Transactions of the American Society of Agricultural Engineers 45: 13–19. 10.13031/2013.7864

De-An, Z., Jidong, L., Wei, J., Ying, Z. and Yu, C., 2011. Design and control of an apple harvesting robot. Biosystems Engineering 110: 112-122. https://doi.org/10.1016/ j.biosystemseng.2011.07.005

Escolà, A., Rosell-Polo, J.R., Planas, S., Gil, E., Pomar, J., Camp, F., Llorens, J. and Solanelles, F., 2013. Variable rate sprayer. Part 1 – Orchard prototype: Design, implementation and validation. Computers and Electronics in Agriculture 95: 122– 135. https://doi.org/10.1016/j.compag.2013.02.004

Gil, E., Llorens, J., Llop, J., Fabregas, X., Escolà, A. and Rosell Polo, J.R., 2013. Variable rate sprayer. Part 2 – Vineyard prototype: Design, implementation and validation. Computers and Electronics in Agriculture 95: 136–150. https:/ /doi.org/10.1016/j.compag.2013.02.010

Gonzalez-de-Soto, M., Emmi, L., Perez-Ruiz, M., Aguera, J. and Gonzalez-de-Santos, P., 2016. Autonomous systems for precise spraying - Evaluation of a robotised patch sprayer. Biosystems Engineering 146: 165-182. https://doi.org/ 10.1016/j.biosystemseng.2015.12.018

Han, L., Mao, H., Hu, J., and Tian, K., 2015. Development of a doorframe-typed swinging seedling pick-up device for automatic field transplantation. Spanish Journal of Agricultural Research 13: e0210, 1-14. http://dx.doi.org/ 10.5424/sjar/2015132-6992

Han, L.H., Mao, H.P., Hu, J. and Kumi, F., 2019. Development of a riding type fully automatic transplanter vegetable seedlings. Spanish Journal of Agricultural Research 17: 1-14. http://dx.doi.org/10.5307/JBE.2012.37.3.201

Hardin P J, Jackson M W, Anderson V J and Johnson R. 2007. Detecting squarrose knapweed (Centaurea virgata Lam. ssp. Squarrosa Gugl.) using a remotely piloted vehicle: A Utah case study. GIScience & Remote Sensing 44: 203–219. https://doi.org/10.2747/1548-1603.44.3.203

Abhijit Khadatkar, C.R. Mehta and C.P. Sawant

Hunt, E.R.Jr, Cavigelli, M., Walthall, C.S.T., McMurtrey, J.E.III, and Walthall, C.L., 2005. Evaluation of digital photography from model aircraft for remote sensing of crop biomass and nitrogen status. Precision Agriculture 6: 359–78. https:/ /naldc.nal.usda.gov/download/59136/PDF

Jeon, H.Y., Zhu, H., Derksen, R., Ozkanb, E. and Krause, C., 2011. Evaluation of ultrasonic sensor for variable-rate spray applications. Computers and Electronics in Agriculture 75: 213– 221. https://doi.org/10.1016/j.compag.2010.11.007

Kang, D.H., Kim, D.K., Lee, G.I., Kim, Y.H., Lee, H.J., and Min, Y.B., 2012. Development of a Vegetable Transplanting Robot. Journal of Biosystems Engineering 37: 201-208. http:// dx.doi.org/10.5307/JBE.2012.37.3.201

Khadatkar, A., Mathur, S.M., and Gaikwad, B.B., 2018. Automation in Transplanting: A smart way of vegetable cultivation. Current Science 115(10): 1884-1892. 10.18520/cs/v115/i10/ 1884-1892

Kim, K.D., Ozaki, S., and Kojima, T., 1995. Development of an automatic robot system for a vegetable factory. In: Transplanting and raising seedling robot in a nursery room. Proceedings of ARBIP95, 1: pp 157-163, Kobe, Japan.

Laliberte A S and Rango A. 2009. Texture and scale in object based analysis of sub-decimeter resolution unmanned aerial vehicle (UAV) imagery. IEEE Transactions on Geoscience and Remote Sensing, Special Issue on UAV Sensing Systems in Earth Observation 47: 761–70. 10.1109/ TGRS.2008.2009355

Ma, J., Hu, J., Yan, X., Qi, C., and Guan, J., 2013. Transplanting path planning and motion functions research of the high speed tray seedling transplanting robot. Advanced Material Research 694-697: 1747-1752. https://doi.org/10.4028/ www.scientific.net/AMR.694-697.1747

Maghsoudi, H., Minaei, S., Ghobadian, B. and Masoudi, H., 2015. Ultrasonic sensing of pistachio canopy for low-volume precision Spraying. Computers and Electronics in Agriculture 112: 149–160. 10.1016/j.compag.2014.12.015

Mao, H., Han, L., Hu, J., and Kumi, F., 2014. Development of a pincette-type pick-up device for automatic transplanting of greenhouse seedlings. Applied Engineering in Agriculture 30: 547–556. 10.13031/aea.30.10550

Melander, B., Lattanzi, B. and Pannacci, E., 2015. Intelligent versus non-intelligent mechanical intra-row weed control in transplanted onion and cabbage. Crop Protection 72: 1-8. https://doi.org/10.1016/j.cropro.2015.02.017

Meng, Q., Qiu, R., He, J., Zhang, M., Ma, X. and Liu, G., 2015. Development of agricultural implement system based on machine vision and fuzzy control. Computers and Electronics in Agriculture 112: 128–138. 10.1016/j.compag.2014.11.006

Midtiby, H.S., Astrand, B., Jorgensen, O. and Jorgensen, R.N., 2016. Upper limit for contextebased crop classification in robotic weeding applications. Biosystem Engineering 146: 183-192. 10.1016/j.biosystemseng.2016.01.012

Oberti, R., Marchi, M., Tirelli, P., Calcante, A., Iriti, M., Tona, E., Hocevar, M., Baur, J., Pfaff, J., Schutz, C., and Ulbrich, H., 2016. Selective spraying of grapevines for disease control using a modular agricultural robot, Biosystem Engineering 146: 203-215. https://doi.org/10.1016/j.biosystemseng. 2015.12.004

Perez-Ruiz, M., Slaughter, D.C., Fathallah, F.A., Gliever, C.J., and Miller, B.J., 2014. Co-robotic intra-row weed control system. Biosystem Engineering 126: 45-55. https://doi.org/ 10.1016/j.biosystemseng.2014.07.009

Primicerio, J, Gennaro, S F D, Fiorillo E, Genesio L, Lugato E and Matese. 2012. A ûexible unmanned aerial vehicle for precision agriculture. Precision Agriculture, 13: 517–523. 10.1007/s11119-012-9257-6

Ryu, K.H., Kim, G., and Han, J.S., 2001. Development of a robotic transplanter for bedding plants. Journal of Agricultural Engineering Research 78: 141–146. 10.1006/jaer.2000.0656

Silwal, A., Davidson, J. R., Karkee, M., Mo, C., Zhang, Q., and Lewis, K., 2017. Design, integration, and field evaluation of a robotic apple harvester. Journal of Field Robotics. https:/ /doi.org/10.1002/rob.21715.

Sinha, J.P., 2020. Aerial robot for smart farming and enhancing farmers’ net benefit. Indian Journal of Agricultural Sciences 90: 18-27. http://epubs.icar.org.in/ejournal/index.php/ IJAgS/article/view/98997

Swain K C, Thomson S J and Jayasuriya H P W. 2010. Adoption of an unmanned helicopter for low altitude remote sensing to estimate yield and total biomass of a rice crop. Transactions of the ASABE 53: 21–27. 10.13031/2013.29493

Thakur P S. 2016. Farmers of Chhattisgarh a few case studies. Retrieved from http://ruralreporter.blogspot.com/2016/ 06/farmers-of-chhattisgarh.html

Wang, Y., Yang, Y., Yang, C., Zhao, H., Chen, G., Zhang, Z, Fu, S., Zhang, M and Xu, H., 2019. End-effector with a bite mode for harvesting citrus fruit in random stalk orientation environment. Computers and Electronics in Agriculture, 157: 454–470. https://doi.org/10.1016/j.compag.2019.01.015

Xin, J., Kaixuan, Z., Jiangtao, J., Xinwu, D., Hao, M., and Zhaomei, Q., 2018. Design and implementation of intelligent transplanting system based on photoelectric sensor and PLC. Future Generation Computer Systems 88: 127-139. https:/ /doi.org/10.1016/j.future.2018.05.034

Zaidner, G. and Shapiro, A., 2016. A novel data fusion algorithm for low-cost localisation and navigation of autonomous vineyard sprayer robots. Biosystems Engineering 146: 133- 148. https://doi.org/10.1016/j.biosystemseng.2016.05.002

Zion, B., Mannb, M., Levin, D., Shilo, A., Rubinstein, D. and Shmulevich, I., 2014. Harvest-order planning for a multiarm robotic harvester. Computers and Electronics in Agriculture 103: 75–81. https://doi.org/10.1016/j.compag.2014.02.008 Manuscript recived on 26.5.2021

Published

2022-08-23

How to Cite

Khadatkar, A., Mehta, C.R., & Sawant, C.P. (2022). Application of robotics in changing the future of agriculture . Journal of Eco-Friendly Agriculture, 17(1), 48–51. https://doi.org/10.5958/2582-2683.2022.00010.7