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VOL. 7, ISSUE 2 (2022)
Recent turmeric plants agronomy analysis and methodology using Artificial intelligence
Authors
S Umamaheswari, Laxmi Ganesh Kathawate, W B Shirsath, Samata Gadde, P Saradha
Abstract
Bacteria and viruses are the most common disease-causing microorganisms, and they are not apparent when they first damage the plant. Only at a later stage is it apparent to human eyes, and it has infected entire plant sections. Artificial Intelligence (AI) is a rapidly growing area in all fields of employment, with the goal of automating tasks and increasing efficiency. It is also used in the agricultural industry to boost crop output by detecting disease early and classifying the type of disease that has been affected so that precautionary measures can be taken to prevent the disease from spreading to other plants in the field. Image processing on computer vision and training the model with VGG-16 architecture make this possible.
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Pages:233-236
How to cite this article:
S Umamaheswari, Laxmi Ganesh Kathawate, W B Shirsath, Samata Gadde, P Saradha "Recent turmeric plants agronomy analysis and methodology using Artificial intelligence ". International Journal of Botany Studies, Vol 7, Issue 2, 2022, Pages 233-236
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