Tea Cultivation that can be Improved by Using Various Aspects of Information Technology

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.