Sustainable Growth Through Automation: Machine Learning and Computer Vision Advancements in Sri Lankan Floriculture

The production of floriculture in Sri Lanka is led by the country, with both small and large-scale businesses being established throughout the island. Various problems are experienced by many growers. An imperative requirement for a smart assistance system arises due to the current utilization of inefficient technology by producers. As a result, a solution that addresses significant barriers in the industry has been identified and implemented. The proposed system, titled ‘Machine Learning and Computer Vision Advancements in Sri Lankan Floriculture’, focuses on addressing these major aspects. To achieve this, a mobile application called ‘PlantPal’ has been developed and utilized. The implementation of the system primarily employs Machine Learning and Computer Vision techniques. With PlantPal, the monitoring and prediction of plant growth, calculation of the affected leaf's area from a mite attack or nutrient deficiency, demand forecasting, and selection of plants based on weather and resources are made accessible to anyone.