Minimizing Risk In Agriculture By Application Of Artificial Intelligence
DOI:
https://doi.org/10.17697/ibmrd/2023/v12i1/172866Keywords:
Artificial Intelligence & Agriculture.Abstract
The use of advanced techniques to make agriculture more profitable, is one of the challenge.. Present practices to increase farming production require high value inputs and consumer demands quality food. The shortage & increasing daily wages of labor, increasing cost of cultivation and crop losses associated with failure in yield due to pest & diseases, insufficient rainfall, climatic changes and decrease of soil fertility, uneven market price in agriculture commodities etc., has made significant negative impact on the socioeconomic status on farming population. Besides rise in population has created more pressure for supply on food grains resulting with huge rise in prices of agricultural produces. Using AI it is possible to develop smart and good agricultural practices to minimize loss of farming and increase the yield.Downloads
Downloads
Published
How to Cite
Issue
Section
References
Chesmore E.D. Application of time domain signal coding and artificial neural networks to passive acoustical identification of animals. Applied Acoustics 62 (2001) 1359–1374 DOI: https://doi.org/10.1016/S0003-682X(01)00009-3
FAO. 2018. Food Security & Nutrition around the World. http://www.fao.org/state-of-food- security-nutrition/en/
FAO. 2009. Global agriculture towards 2050.How to Feed the World 2050; High Level Expert Forum. Rome, 12-13 Oct, 2009.
http://www.fao.org/fileadmin/templates/wsfs/docs/Issues_papers/HLEF2050_Global_Agriculture.pdf Ghazanfari S, Nobari K and Tahmoorespur M. 2011. Prediction of egg production using artificial neural network. Iranian Journal of Animal Science 1: 11–16.
ICAR. 2015. Vision 2050. Indian Council of Agricultural Research, New Delhi, India.
Ishaq M. A. 2018. Artificial Intelligence in animal health and veterinary sciences.vHive. https://vhive.buzz/artificial-intelligence-animal-veterinary-sciences/
Jones C.O. 2017. AI promises a food revolution, from farm to supermarket. Raconteur. https://www.raconteur.net/sustainability/ai-promises-a-food-revolution-from-farm-to- supermarket
NITI Aayog. 2018. Discussion Paper National Strategy for Artificial Intelligence. NITI Aayog, New Delhi. India
Puers, B, Michiels, L., Sansen, W., Geers, R., Goedseels, V. 1988.Temperature telemetry for domestic animals. 10th International Symposium on Biotelemetry, Jury 31 - August 5, Fayetteville.
S. Sladojevic, et al., 2016. "Deep neural networks based recognition of plant diseases by leaf image classification," Computational intelligence and neuroscience. DOI: https://doi.org/10.1155/2016/3289801
V. Dharmaraj* and C. Vijayanand, “Artificial Intelligence (AI) in Agricultureâ€, International
Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 12 (2018)
World Economic Forum. 2016. The Fourth Industrial Revolution: what it means, how to respond. https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means- and-how-to-respond/