Artificial Intelligence for Smart Farming: A review

Authors

  •   Shirsath H. L. Section of Agronomy, Dr. Viyhalrao Vikhe Patil Foundation’s College of Agriculture, Vadgaon Gupta (Viladghat), MIDC, Ahmednagar – 414 111 (MS).
  •   Bhosale A. V. Section of Agronomy, Dr. Viyhalrao Vikhe Patil Foundation’s College of Agriculture, Vadgaon Gupta (Viladghat), MIDC, Ahmednagar – 414 111 (MS).
  •   Jadhav B. D. Section of Agronomy, Dr. Viyhalrao Vikhe Patil Foundation’s College of Agriculture, Vadgaon Gupta (Viladghat), MIDC, Ahmednagar – 414 111 (MS).
  •   Khedekar M. A. Section of Agronomy, Dr. Viyhalrao Vikhe Patil Foundation’s College of Agriculture, Vadgaon Gupta (Viladghat), MIDC, Ahmednagar – 414 111 (MS).

DOI:

https://doi.org/10.17697/ibmrd/2023/v12i1/172867

Keywords:

Agriculture, Crop, Artificial Intelligence, Robotics, Smart Farming, Analysis.

Abstract

Agriculture is the backbone of the Indian economy. The FAO noted that the world population would increase by another two billion in 2050 while more land under crop production will only report to four per cent at that time. During such conditions, sustainable agricultural systems and practices can be done b y adopting the advanced as well as modified technologies to solve the present barriers of agriculture and allied sectors. Automation in agriculture is an emerging subject across the world. In recent, Artificial Intelligence (AI) has been seeing a lot of direct applications in agriculture. Using AI for the precision farming we canintroduce new farm technologies to reduce profit loss of farming community. The Indian farming faces numerous obstacles for the growing of crops and marketing of produce i.e. manage ment of disease and pest infestation, soil analysis, irrigation, drainage, transportation, marketing etc. Such type problems lead to unnecessary environmental conditions and more farmer’s loss as a result of using excess chemicals. This paper emphasizes ap plications of Artificial Intelligence in different domains of agricultural practices and the problems to adopting AI in agriculture..

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Published

2023-03-01

How to Cite

H. L., S., A. V., B., B. D., J., & M. A., K. (2023). Artificial Intelligence for Smart Farming: A review. IBMRD’s Journal of Management & Research, 12(1), 30–36. https://doi.org/10.17697/ibmrd/2023/v12i1/172867

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Articles

References

FAO. Food and Agriculture Organization of the United Nations, 2017, 2017. The state of food and agriculture leveraging food systems for inclusive rural transformation. 978- 92-5-109873-8pp. 1–181.

Gan, H., Lee, W. S., Alchanatis, V., Ehasani, R., AND Schueller, J. K. (2018). Immature green citrus fruits detection using color and thermal images. C omput. Electron Agric. 152, 117-125.doi:10.1016/j.compag.2018.07.011 DOI: https://doi.org/10.1016/j.compag.2018.07.011

https://idapgroup.com/blog/artific ial - intelligence -in -agriculture/

https://krishijagran.com/farm-mechanization/driverless-tractor-the-future-of-smart- farming-in -india/

https://krishijagran.com/featured/role-of-artific ia l -intelligence-i ntegrated-pest management-in -rice-crop/

https://www.cambridge.org/core/journals/journa l-of-agricultural science/article/artificia linte lligence -and-sensing-techniques-for-the-management-of-insect-pests-and-diseases-in -cotton-a-systematic-literaturem review/66754311D1477771820808139657E338

https://www.javatpoint.com/artificia l - inte lligence -tutorial

https://www.sciencedirect.com/science/article/pii/S258972172030012X#bb0360

https: file:///C:/Users/Administrator/Downloads/Artificia lInte lligenceinAgriculture.pdf

Mahavir D., Chakravarthy A. K., George SD. and Raghavendra K. V., “Artific ial Inte lligence, Machine Learning and IOT in Pest Managementâ€, Genetic Methods and Tools for Managing Crop Pests, pp 69–86, August 2020.

Panpatte, D.G., 2018. “Artific ial Inte lligence in Agriculture: An Emerging Era of Researchâ€, Intutional Science, CANADA, pp. 1–8.

Pintu Kumar, Praveen S., Aaditya Sinha, Rahul Kumar Patil, Savita C.H., “Smart Farming Using Driverless Tractor (Swarm Based)â€, Internationa l Journa l of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 5, May 2016

Redmond R., Shamshiri, Cornelia W., Ibrahim A., Hameed, Ian J., Yule, Tony E., Grift5, Siva K., Balasundram, Lenka P., Desa A. and Girish C. “Research and development in agricultura l robotics: A perspective of digita l farmingâ€, Int J Agric & Biol Eng, Vol.11(4) July, 2018. DOI: https://doi.org/10.25165/j.ijabe.20181104.4278

Searcy, S. W,. Schueller, J. K., Bae,, Y .H., Borgelt, S. C., and Stout, B. A. (1989). Mapping of spatially variable yi eld during gra in combining. Trans. ASAE 32 (3), 826-829. Doi:10.13031/2013.31077. DOI: https://doi.org/10.13031/2013.31077

Syed Mutahir Mohiuddin, “Agricultura l Robotics and Its Scope in Indiaâ€, Internationa l Journal of Engineering Research & Technology (IJERT), Vol. 4 Issue 07, July-2015. DOI: https://doi.org/10.17577/IJERTV4IS070784

Yogesh Awasthi, “Press “A†for Artificia l Intelligence in Agriculture: A Reviewâ€. International Journal on Informatics Visualization, VOL 4 (2020) NO 3. DOI: https://doi.org/10.30630/joiv.4.3.387

Lee, J.,Wang, J., Crandall, D., Sabanovic, S., & Fox, G. (2017). Real-time, cloud-based object detection for unmanned aerial vehicles. 2017 First IEEE Internationa l Conference on Robotic Computing (IRC). doi:https://doi.org/10.1109/irc.2017.77. DOI: https://doi.org/10.1109/IRC.2017.77

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