This paper aims to propose an advanced management and monitoring methodology for a cooperative cluster of interconnected networks of smart greenhouses. Each network is defined as a microgrid powered smart greenhouses. The microgrids are interconnected allowing the power exchanges to increase the usage of renewable generation. In addition, the cluster is connected to the main grid through a power link permitting power exchanges in excess/shortage cases. The developed framework integrates effective optimization approach-based management algorithm with the purpose to enhance the energy efficiency of the greenhouses. The main purpose is to optimally control of the whole cluster’ operation while considering the operational constraints with the aim of enhancing energy efficiency, as well as effectively manipulating the microclimate variables defining the optimal environment for crops development in all networks. The cooperation is secured via bidirectional communication infrastructure. Furthermore, a master centralized controller-based algorithm is in charge of securing the efficient operation of the whole cooperative cluster of networks. The effectiveness of the management-based algorithm is applied to a case study considering four cooperative networks including three greenhouses each. Results demonstrate that the energy storage systems regulate their operation responding to the dynamic references as well as enhancing the reliability of supply and balancing energy productions and electric loads. The power exchanges among microgrids take place specifically at night due to the high-power peak loads triggered by the artificial lighting. It is validated that the cluster succeed to balance the energy productions and loads locally based on cooperation and coordination among the microgrids without any interaction with the main electric grid, while satisfying the reference signals defining the optimal microclimate environments for crops development in all the greenhouses.