Smart Hydroponics system integrating with IoT and Machine learning algorithm

As the population increases and natural resources decrease, the ability to serve humanity with a sufficient amount of food becomes increasingly difficult. The amount of agricultural land decreases proportionally to the increasing population, thus the amount of food produced will decrease significantly, and will be insufficient to serve the growing population. The orthodox methods of farming will not suffice in the near future. Thus, using modern technology and resources, a method of efficient farming must be introduced and employed in the agricultural field. This research makes use of an efficient farming method called hydroponics by adopting machine learning algorithms. The system that has been designed and built, is automated, and uses sensor data to make decisions by using KNN and Lasso Regression algorithm to benefit the crops being grown. With our system we hope to solve the potential food crisis and give everyone access to fresh produce all year round.