Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
The tea industry is found as a significant partner for over a century in
Sri Lanka's economy. The tea industry is our country's forex and source and
employment. However, viewing the statistics from some years ago, the tea
industry's contribution is claimed to be flawed. Therefore, the problems faced
by the tea industry can be solved by using sophisticated technologies. This
paper point is to introduce a mobile application which developed using image
processing, data science and machine learning techniques to assist farmers to
improve knowledge in tea plantation. This system will help to planters to
select proper tea clones, visualize growth of the plants, and identify insects
and diseases. In distinguishing insects and diseases in tea plantation growers
can upload the image to the application. The developed model has 95 percentage
accuracy to recognize the disease. Alter theses identification system will give
proper chemicals and details about the current disease. Also, Users can get
idea about how to grow a tea plants step by step, the time it takes to harvest,
yield time of that tea clone and the cost of cultivating the land using this
mobile app. Along these this will be useful for tea planters to being
successful in their agricultural industry.
Country : Sri Lanka
IRJIET, Volume 5, Issue 1, January 2021 pp. 1-7