A storage system is described where goods are stored in containers and the containers are stored in stacks. Above the stacks runs a grid network of tracks on which load handling devices run. The load handling devices take containers from the stacks and deposit then at alternative locations in the stacks or deposit then at stations where goods may be picked out. Each container may be provided with connectors having a push fit male connector located at a top edge of the container and a female connector at a bottom edge of the container. Adjacent containers in a stack can be linked by routing means, which form moldings on each container. The connectors can also have spring-loaded contacts. The provision of these services within individual containers rather than across the system as a whole, allows for flexibility in storage whilst reducing cost and inefficiency.

Systems, methods, apparatuses, and computer program products for a greenhouse indoor environment controller based on model predictive control (MPC), which can be integrated into existing greenhouse regulatory systems to optimally maintain critical climatic variables, including artificial lighting levels, CO.sub.2, indoor temperature, and humidity levels within acceptable limits. The objectives of the MPC may be to maximize the rate of crop photosynthesis while optimizing the use of the available water and energy resources, taking into account the unpredictability and intermittent nature of renewable energies and external atmospheric conditions. Accordingly, certain embodiments may facilitate the management of greenhouses by anticipating control actions for a better quality of production. For that, mathematical formulations of the optimal control problem may be described, and the numerical results related to the application of the MPC to case studies are described integrating the effects of greenhouse structural considerations and the influence of climate data on its operation.

Systems, methods, apparatuses, and computer program products for a greenhouse indoor environment controller based on model predictive control (MPC), which can be integrated into existing greenhouse regulatory systems to optimally maintain critical climatic variables, including artificial lighting levels, CO.sub.2, indoor temperature, and humidity levels within acceptable limits. The objectives of the MPC may be to maximize the rate of crop photosynthesis while optimizing the use of the available water and energy resources, taking into account the unpredictability and intermittent nature of renewable energies and external atmospheric conditions. Accordingly, certain embodiments may facilitate the management of greenhouses by anticipating control actions for a better quality of production. For that, mathematical formulations of the optimal control problem may be described, and the numerical results related to the application of the MPC to case studies are described integrating the effects of greenhouse structural considerations and the influence of climate data on its operation.

A method for receiving, over a computer network, from a plurality of devices installed in an indoor farming module, a plurality of data associated with at least one of: a water level in a watering reservoir, a pH level in an irrigation system, a temperature in the indoor farming module, a humidity level in the indoor farming module, a carbon dioxide level in the indoor farming module, and a power relay status, filtering the received plurality of data on a remote computer based on a filtering field, displaying, in a plurality of panels, the filtered data received from the plurality of devices; configuring a plurality of schedules for the plurality of devices, wherein the plurality of schedules comprise at least one of an irrigation schedule, a lighting schedule, and a data collection schedule, and sending the configured plurality of schedules to one or more controllers of the indoor farming module.

A method for receiving, over a computer network, from a plurality of devices installed in an indoor farming module, a plurality of data associated with at least one of: a water level in a watering reservoir, a pH level in an irrigation system, a temperature in the indoor farming module, a humidity level in the indoor farming module, a carbon dioxide level in the indoor farming module, and a power relay status, filtering the received plurality of data on a remote computer based on a filtering field, displaying, in a plurality of panels, the filtered data received from the plurality of devices; configuring a plurality of schedules for the plurality of devices, wherein the plurality of schedules comprise at least one of an irrigation schedule, a lighting schedule, and a data collection schedule, and sending the configured plurality of schedules to one or more controllers of the indoor farming module.

A storage system is disclosed where goods can be stored in containers and the containers are stored in stacks. Above the stacks runs a grid network of rails (e.g., tracks) on which load handling devices can run. To take containers from the stacks and deposit then at alternative locations in the stacks or deposit then at stations where goods may be picked. The framework may be provided with one or more of the following exemplary services: power, power control, heating, lighting, cooling, sensors, and data logging devices. The provision of these services within the framework rather than across the system as a whole, can allow for flexibility in storage whilst reducing cost and inefficiency.

An automatic vertical farming system may include a frame defining at least one growth area and configured to support a plurality of vertical plant growth structures within the at least one growth area. The system may include at least one light, at least one liquid conduit, and at least one gas conduit. The system may include at least one robot disposed on a top side of the frame and movably supported by the frame. The at least one robot may include at least one tool configured to manipulate the plurality of vertical plant growth structures. The system may include a control system including at least one processor configured to automatically control illumination by the at least one light, liquid flow through the at least one liquid conduit, gas flow through the at least one gas conduit, and operation of the at least one robot.

An automatic vertical farming system may include a frame defining at least one growth area and configured to support a plurality of vertical plant growth structures within the at least one growth area. The system may include at least one light, at least one liquid conduit, and at least one gas conduit. The system may include at least one robot disposed on a top side of the frame and movably supported by the frame. The at least one robot may include at least one tool configured to manipulate the plurality of vertical plant growth structures. The system may include a control system including at least one processor configured to automatically control illumination by the at least one light, liquid flow through the at least one liquid conduit, gas flow through the at least one gas conduit, and operation of the at least one robot.

A grow system. The system includes growing plants in grow modules that are individually moveable. The plants grow in trays where roots never touch the water supply. The plumbing to the grow modules is a low flow, one way flow continual drip system that is hands free. A mobile robot can navigate around a growspace, bring any grow module from one location to another, and perform growspace operations. The growspace is a control space with data source zones and a control space manager. The control space manager can collect data and control different variables across different data source zones in order to determine optimal policies and conditions for data source growth and generation.

A movable carbon capture system applied to agriculture-harmonious buildings, which includes a carbon capture unit and a high-concentration CO.sub.2 supply unit which are respectively integrated, wherein the carbon capture unit comprises a CO.sub.2 adsorption chamber and an air pump, and the high-concentration CO.sub.2 supply unit comprises a vacuum pump and an air storage cavity; an air inlet of the CO.sub.2 adsorption chamber is connected to the indoor environment, an exhaust port of the CO.sub.2 adsorption chamber is connected to an atmosphere outlet, an air outlet of the CO.sub.2 adsorption chamber is connected with an air inlet of the vacuum pump, an air outlet of the vacuum pump is connected with an air inlet of the air storage cavity, an air outlet of the air storage cavity is connected with a greenhouse air supply port, and the greenhouse air supply port is connected with a greenhouse.