Authors :
MuttareddyBhavika; Pannala Ashwanth; Valaboju Abhishek
Volume/Issue :
Volume 9 - 2024, Issue 7 - July
Google Scholar :
https://tinyurl.com/5n7v657r
Scribd :
https://tinyurl.com/2mbtk5z6
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24JUL549
Abstract :
In the environment of global challenges
similar as population growth, climate change, and
resource constraints, the agrarian sector faces significant
pressure to enhance productivity and sustainability. This
paper explores the conception and perpetration of a
Smart Farm, which leverages advanced technologies
similar as the Internet of effects( IoT), artificial
intelligence( AI), big data analytics, and robotics to
optimize husbandry practices. The Smart husbandry,
automated ministry, and data driven decision-making
processes to increase crop yields, reduce resource
consumption, and ameliorate environmental
stewardship. Case studies punctuate successful
operations of these technologies in colorful husbandry
surrounds, demonstrating significant advancements in
effectiveness and sustainability. The findings emphasize
the eventuality of Smart granges to transfigure
traditional husbandry into a largely productive, flexible,
and sustainable assiduity, able of meeting unborn food
security demands.
References :
- Hangzhi Guo, Alexander Woodruff, Amulya Yadav (2020) - Improving Lives of Indebted Farmers Using Deep https://ojs.aaai.org/index.php/AAAI/artic le/view /7039
- Bai, S.; Kolter, J. Z.; and Koltun, V. 2018. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. ArXiv preprint arXiv:1803.01271.
- Barik, N. 2018. Analysis ofinterventions addressing farmer distress in Rajasthan. https://www. copenhagenconsensus.com/sites/default/files/rajfarmer distress sm.pdf
- DARD. 2019. Vegetable Production in Kwazulu-Natal: Length of Growing Period. https://www. kzndard.gov.za/images/ Documents/Horticulture/Veg prod/length of growing period.pdf.
- Ma, W.; Nowocin, K.; Marathe, N.; and Chen, G. H. 2019. An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors. In Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, 6. ACM.
- NCRB. 2019. National Crime Records Bureau. http://ncrb.gov. in/.
- Tambe, M., and Rice, E. 2018. Artificial Intelligence and Social Work. Artificial Intelligence for Social Good. Cambridge UniversityPress
In the environment of global challenges
similar as population growth, climate change, and
resource constraints, the agrarian sector faces significant
pressure to enhance productivity and sustainability. This
paper explores the conception and perpetration of a
Smart Farm, which leverages advanced technologies
similar as the Internet of effects( IoT), artificial
intelligence( AI), big data analytics, and robotics to
optimize husbandry practices. The Smart husbandry,
automated ministry, and data driven decision-making
processes to increase crop yields, reduce resource
consumption, and ameliorate environmental
stewardship. Case studies punctuate successful
operations of these technologies in colorful husbandry
surrounds, demonstrating significant advancements in
effectiveness and sustainability. The findings emphasize
the eventuality of Smart granges to transfigure
traditional husbandry into a largely productive, flexible,
and sustainable assiduity, able of meeting unborn food
security demands.