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Hydroponics with Machine learning represents a comprehensive initiative aimed at addressing the challenges encountered by both farmers and practitioners of hydroponics, a modern agricultural method.This method is particularly effective for growing certain types of plants, such as leafy vegetables, berries, greens, and tomatoes.The project's primary focus is to support farmers by combining our machine learning model with their IoT devices and hydroponic systems.This integration enables the monitoring of plant growth and the parameters influencing it, with a special emphasis on tomatoes, and offers personalized support to users who may not be familiar with advanced agricultural technologies.Improving crop productivity, this approach can lead to better yields and more nutritious food.Key features of this project include personalized support for users-both farmers and others utilizing hydroponic systems-through notifications and suggestions aimed at enhancing plant growth.Additionally, the project boasts a user-friendly interface for both administrators and users.Our goal is to tackle issues associated with traditional farming techniques by offering structured and personalized solutions that have the potential to make a significant impact in the agriculture sector.
Rohini et al. (Sun,) studied this question.