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TRP - Tomato Ripeness Prediction

Tomato Yeild Prediction Using Intelligent System

Kifaya Qaddoum K.S.Qaddoum@warwick.ac.uk, Professor Evor Hines Warwick University, Steve Adams HRI

 

Tomato Prediction Using Intelligent Systems

Modeling tomato yields using Intelligent Systems (IS), there has been good progress in understanding the factors that cause fluctuations in tomato yields, due to the complexity of the system, future work will exploit IS approaches that have undergone continued expansion into many application areas in recent years. Such IS methods are based on algorithms inspired by nature to solve difficult or ill-posed problems utilizing modern computing power.