Method for operating a greenhouse

EP4680009A1Pending Publication Date: 2026-01-21SUNELEMENTS GMBH
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Patent Information

Application Number
EP2024712791
Authority / Receiving Office
EP · EP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-03-17
Filing Date
2024-03-15
Publication Date
2026-01-21

AI Technical Summary

Technical Problem

Current greenhouses, both for commercial and private use, lack intelligent control systems and modular design features, leading to instability in climatic conditions and inadequate care for plants, resulting in failures due to temperature, watering, and lighting issues.

Method used

A method and system for operating a greenhouse that utilizes a database to assess compatibility of different plant species based on water, temperature, and light requirements, generating control signals to regulate greenhouse conditions, and includes a self-learning system for optimizing plant care, with integration of solar panels for energy efficiency.

Benefits of technology

The system ensures stable and optimal growth conditions for various plants by automatically adjusting environmental factors, enhancing plant compatibility checks, and enabling energy-autonomous operation, allowing for year-round cultivation of exotic and seasonal produce with reduced ecological footprint.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a method for operating a greenhouse (10), in which components of the greenhouse (10) are controlled in order to influence conditions in the greenhouse (10), wherein controls signals for controlling the components are determined, for which purpose signals of sensors which bear information about the conditions in the greenhouse (10) are evaluated and data from a database in which information about different plants is stored is taken into consideration, wherein the database is used to check the mutual compatibility of different plants.
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Description

[0001] Procedure for operating a greenhouse

[0002] The invention relates to a method for operating a greenhouse, an arrangement for carrying out the method, a greenhouse with such an arrangement, a computer program and a machine-readable storage medium.

[0003] For optimal growth, vegetables and plants require stable environmental conditions and active, regular, targeted, and time-consuming care. Greenhouses are particularly common in commercial settings. For private use, only a standard greenhouse is currently available on the market.

[0004] Greenhouses, also known as glasshouses or hothouses, are typically translucent structures that allow for the frost-protected and controlled cultivation of plants, especially subtropical and tropical plants, in climates unsuitable for such cultivation. The roof, traditionally made of glass but now also of transparent plastic sheets or plastic film, increases the temperature inside the greenhouse through sunlight and the greenhouse effect, protecting plants from precipitation and strong winds. By regulating various factors, such as temperature and irrigation, the climate within the greenhouse can be controlled.

[0005] While both outdoor greenhouses and indoor solutions, known as plantariums, offer protection, maintaining stable conditions and providing individual care requires considerable effort and in-depth knowledge. Despite these efforts, failures can occur due to cold, heat, drought, overwatering, poor light conditions, and / or the inability to achieve stable climatic conditions.

[0006] Neither the greenhouses for private use nor the plantariums for indoor use yet include any smart or intelligent features, such as control of climatic conditions, modularity in terms of design and size, foundation variants, and interior fittings.

[0007] Publication WO 2022 / 009082 A1 describes an energy-efficient modular greenhouse constructed from several modules. Each module has a roof supporting at least one transparent roof surface. A photovoltaic module comprising at least one thin-film solar cell is mounted on the roof surface. Furthermore, an energy storage unit and a control and monitoring unit are provided, which is communicatively connected to internal sensors, external sensors, and several actuators.

[0008] From document EP 2 979 540 B1, a plant cultivation system is known that comprises a plurality of plant cultivation units and a management device, wherein the management device manages a plant cultivation in the plurality of plant cultivation units. Each plant cultivation unit has a greenhouse, an environmental control unit, a storage unit, and an environmental setting instruction unit that sets a setting value stored in the storage unit. The document describes a calendar controller, a temperature control unit, and a humidity control unit.

[0009] The use of solar or photovoltaic (PV) modules to supply electrical energy in greenhouses is well known. For example, WO 2019 / 177710 A1 describes a solar greenhouse that provides a water and energy supply. A ventilation system is also provided in the greenhouse. AT 524682 A4 describes an intelligent, individual, adaptive irrigation system for watering plants, in which a watering pulse and watering duration are specified. Furthermore, signals from a surface sensor and a root zone sensor regarding changes in humidity are recorded, and irrigation is controlled accordingly.

[0010] A vertical gardening system for plants is known from EP 3 987 918 A2. This system consists of a base plate on which at least one plant box for at least one plant is arranged. A supply unit supplies the plant in the plant box with water, nutrients, and / or energy. At least one humidity sensor measures the humidity within the plant box, and a plant controller controls the supply unit based on the obtained data.

[0011] Against this background, a method having the features of claim 1, an arrangement for carrying out the method according to claim 9, a greenhouse according to claim 11, a computer program having the features of claim 15 and a machine-readable storage medium according to claim 16 are presented. Embodiments emerge from the dependent claims and from the description.

[0012] The presented method is used to operate a greenhouse that is set up for growing plants, in particular plants of different types. In the method, conditions in the greenhouse are influenced by controlling components of the greenhouse. These conditions are in particular conditions that have an effect on the plants in the greenhouse. For this purpose, control signals for controlling the components are determined, for which purpose signals from sensors that carry information about the conditions in the greenhouse are evaluated. Furthermore, data from a database in which information about different plants is stored is taken into account. This data therefore carries information about plants, in particular about different plants that are already planted in the greenhouse or that may in principle be intended for planting in the greenhouse.

[0013] The database is used, in particular, to test the compatibility of different plants with each other. This means that the database and the information it contains are accessed to determine whether different plants, especially two different plants, are compatible with each other or whether, if they are planted in close proximity, at least one of the plants will be affected.

[0014] Access can be performed by the user. Alternatively, access can be automatic, especially if a high degree of automation of the greenhouse, i.e., a low level of user involvement, is selected. Even if the user wants to work largely independently, access to the database, which can also be performed automatically if necessary, can determine whether plants are compatible. A warning can then be issued to the user if necessary.

[0015] The greenhouse's level of automation or the level of participation of the user(s) can be determined in advance. This can vary for different users depending on their skills. For example, a primary user can be defined, who can then assign skills to other users, reflecting their level of participation.

[0016] With regard to the database presented, it should be noted that not only environmental awareness but also knowledge about the origins of food is growing among the population. Vegetables and fruits imported from other continents in winter often have less flavor than seasonal and local vegetables. However, a greenhouse can also be used to produce non-seasonal foods with a small ecological footprint. Furthermore, greenhouses enable the cultivation of exotic fruits, which can thus be harvested even in colder climates.

[0017] It's important to note that greenhouses have a variety of uses. They allow for year-round harvesting or the overwintering of exotic plants in a mild climate. Furthermore, the use of a greenhouse can keep the temperature inside 2 to 3°C higher than the outside temperature. By installing solar panels on the greenhouse, temperatures can be kept constant and increased several times over, allowing for a warmer climate in winter and the year-round harvest of summer vegetables. Furthermore, an irrigation system can further simplify the cultivation of fruit and vegetables by allowing for targeted water delivery that is individually tailored to each plant.

[0018] The presented plant database can be divided into logical categories even for a user without in-depth botanical knowledge. It is important to ensure compatibility between plants within groups or within spatial areas of the greenhouse. Furthermore, plant recommendations can be provided, and it can be pointed out which plants are incompatible. The water, temperature, and light requirements should be similar in the respective groups to optimally support growth and achieve the best possible harvest. This is all done while taking into account the capabilities of the glass or greenhouse, i.e., which conditions can actually be set with the greenhouse.

[0019] This also makes the database and its use easier for laypeople. Even in purely automated operation, i.e. operation without user access, the database enables efficient and fast access to important data. This will be discussed in more detail below. In particular, various categories have been created in the database which have similar requirements for water, temperature and light. However, it should be taken into account that some plants have very different needs. These special plants can be marked with a color, e.g. red, and can be removed from the database because they are not suitable or not at all for domestic use. Alternatively, these plants can be planted with other plants which have similar requirements. However, it should be noted that under poor conditions these plants will not be able to reach their optimum.Compatibility with other plants should also be considered. While many plants require similar water and temperature conditions, they should not be planted next to each other due to their mutual influence on growth. Therefore, it is essential to identify any interfering plants so they are not planted in the same bed.

[0020] The three most important factors for healthy growth and optimal fruit formation were defined as water quantity, temperature, and light. The plants were divided into groups that have similar requirements regarding water quantity, temperature, and light. The decisive criterion, for example, can be water quantity.

[0021] The right amount of water is crucial for plant growth. Too little will inhibit growth and fruit development. Too much water can cause the plant or its roots to rot, or even lead to the spread of various fungi.

[0022] Every plant has an optimum temperature in which it thrives. However, most plants are tolerant to higher and, in some cases, lower temperatures to a certain extent. A good water supply is essential.

[0023] Similar to temperature, most plants do well with more light or more hours of sunshine per day. However, it should be considered that some species may need to be planted in the shade of other plants. The database presented here, at least in its current form, allows for mutual dependency control. Thus, not only can required values ​​be specified in the database, but also knockout criteria can be defined. These criteria include allelopathy, nutrient competition, shade tolerance, light competition, and / or competition for space. Categories are provided for each of these criteria in the database, allowing for a quick check of whether two different plants are compatible.

[0024] The database thus enables an efficient and rapid compatibility check of different plants or plant varieties based on the predefined categories or criteria. Categories that can be considered include, in particular, water quantity or water requirement, temperature, and / or light or light quantity. Independent of these categories or dependent on them, knockout criteria can be defined, which allow for a single, quick determination of whether different plants are compatible. Knockout criteria can be water quantity, temperature, or light. Alternatively, knockout criteria can be defined whose values ​​result from combinations of other criteria or categories, such as water, temperature, and light. This knockout criterion is then referred to, for example, as allelopathy.

[0025] With an electronic database, a plant can then be selected in this category or column via a suitable user interface, and suitable or incompatible plants are then named or indicated. In another embodiment, plants can be selected and the database or a suitable computer program, e.g. an app, then immediately indicates whether these plants are compatible. This does not require querying several different categories; instead, quick access to the corresponding category in which knockout criteria are stored is sufficient. Alternatively, the water, temperature and / or light categories can be accessed to check compatibility. Data entered by a greenhouse user can also be taken into account to determine the aforementioned control signals. A user interface, for example, is used for input.An acoustic and / or visual display associated with the user interface can support interaction between the user and the greenhouse.

[0026] In the implementation, a self-learning system is provided that provides the customer with an opportunity to provide feedback, for example, via the aforementioned user interface. This means that the user can enter whether certain procedures were successful or not. This allows processes to be optimized.

[0027] The described arrangement serves to carry out the method and is implemented, for example, in hardware and / or software. The arrangement can also be present in a computer program, e.g., an app, which can be stored on a machine-readable storage medium. The arrangement has access to the database.

[0028] This access can be performed by the user, typically via a user interface. Alternatively, the system can also access the database automatically. The data contained therein is evaluated, and if necessary, control signals are generated to regulate the operation of the greenhouse, which are then passed on to the corresponding actuators.

[0029] This access is also used, in particular, to check the compatibility of different plants with each other. For this purpose, for example, selected categories or columns in the database are accessed, and if necessary, a so-called KO category is also accessed, as explained elsewhere herein.

[0030] The system therefore usually has an evaluation unit that evaluates recorded data or information and can also take information from the database into account. It is important that the system can operate largely independently, but user intervention is also possible if desired.

[0031] The greenhouse presented here is equipped with such an arrangement. Communication between the greenhouse and the arrangement, which may be provided in the greenhouse, takes place via suitable interfaces, e.g., via wired or wireless connections.

[0032] The described database contains information on various plant species. This database can be set up initially and then updated continuously, as needed, upon request, or whenever it appears necessary. This updating can be performed by the manufacturer or by the user themselves. Data already entered can also be updated or adjusted.

[0033] The database can be organized in tabular form, categories or criteria can be, for example:

[0034] - Name of plant, in national language or scientific name,

[0035] - Variety, in national language or scientific variety,

[0036] - genre, in national language or scientific genre,

[0037] - Family, in local language or scientific family,

[0038] - type, in local language or scientific type,

[0039] Further categories can be included, whereby different phases in plant development, such as growth period, vegetation phase, etc., can be taken into account:

[0040] - Compatibility category,

[0041] - Neighborhood index,

[0042] - Land use or requirement,

[0043] - space consumption or requirement, - wax height min / max,

[0044] - Root depth min / max,

[0045] - Irrigation or water requirement e.g. in l / h or l / day,

[0046] - Temperature min / max,

[0047] - growth temperature range,

[0048] - Humidity min / max,

[0049] - growth period,

[0050] - diseases,

[0051] - other sensitivities,

[0052] - possible pests and their impact,

[0053] - above-ground, underground plant or fruit, etc.

[0054] These categories can also be adjusted or modified by the user or the manufacturer. Prioritization of the different categories can also be specified. In particular, so-called knockout criteria usually have a high priority. These knockout criteria can also be adjusted adaptively, for example, if it is determined that plants planted together in the past have not been compatible.

[0055] To operate the greenhouse, a user interface can be provided that also enables interaction with the greenhouse or with the device for carrying out the process. The device can also output information to the user via this interface, for example, via a display or acoustic signals.

[0056] The level of user involvement, which depends directly on the degree of automation of the greenhouse, can also be specified. For example, operation can be fully automated, allowing the user to simply view the results and, if necessary, harvest. Plant care can also be entirely handled by the user, with suggestions only made upon request. Furthermore, user maintenance can be largely handled by the user, with intervention only occurring when damage is imminent. The level of automation can be finely nuanced, allowing for the specifications or wishes of different users responsible for different plants, areas or partitions in the greenhouse, or specific time periods to be taken into account. This feature also interacts in a special way with the database presented, as explained above.In a fully automated system, it's possible to quickly determine whether certain plants are compatible. If the user has a high degree of autonomy, they can still be alerted that the plants they've selected might not be compatible. This can be achieved by accessing a category containing a knockout criterion once.

[0057] Regarding the terms categories, criteria, and columns in the database, the following is explained: The database contains several columns and rows. Typically, each row is assigned to a test plant. This is then assigned different categories, such as water quantity, which are also referred to as criteria. Typically, each column in the database is also assigned a category or criterion, which can also be a knockout category or criterion.

[0058] The greenhouse's operation can be controlled using software and / or hardware. It is important that the control system accesses sensors that provide signals containing information about the plants. These signals or information are processed, and control signals are output, which in turn control actuators that allow intervention in the greenhouse's operation, e.g., by influencing operating parameters such as temperature, light conditions, ventilation, humidity, etc. It is important that the database can be accessed, either at any time or at the user's request, and that the greenhouse's operation is controlled based on the information or data stored in the database.If the data indicates a need to change one of the operating variables, this new variable can be entered into a control system as a target variable, and this variable can be adjusted using a control system. In principle, operating variables can also be controlled without specifying a change.

[0059] The presented method and the greenhouse described also make it possible to provide the user with suggestions for suitable plants, for example, depending on the external conditions or taking existing plants into account. For example, the neighborhood index is used, which provides information about which plants are compatible with each other. Since the user can also provide feedback on suggestions in the design, a self-learning system or greenhouse is possible.

[0060] This article presents an individually controllable, particularly solar-powered greenhouse that can also be operated independently of energy. The greenhouse's climatic conditions can be individually adjusted using control and regulation elements, as well as sensors inside and outside, and various devices, such as light sources, irrigation systems, ventilation, heating, cooling, and motors.

[0061] The greenhouse described can be available as a kit system and can also be operated autonomously with grid support, especially if the solar energy is stored in a battery and used for operation. The components of such a kit can consist of: control, regulation, sensors, cables, safety devices, solar modules, battery storage, pump, lighting system, irrigation system, ventilation unit, heating, cooling units, and motors for opening and closing windows and / or doors.

[0062] The method and the greenhouse can identify preferred plant species based on site data and make suggestions for them. Advice can also be provided if multiple plants with different environmental requirements are selected. Likewise, the method, arrangement, and / or greenhouse can make suggestions for suitable additional plant species after the first plant has been selected.

[0063] The climatic conditions can be individually selected depending on the plant species, and the required parameters are stored in the database. The control system ensures optimal plant growth and simulates ideal environmental conditions using a calendar function and the control of various components. The control system uses sensors to detect whether sufficient solar power is available or stored and activates or deactivates individual devices. Furthermore, the control system uses the stored logic to identify which plant species are generally suitable for the location based on the climatic conditions and the spatial conditions of the greenhouse. Plant species that exhibit extreme differences in the expected environmental conditions are indicated as such via a display.

[0064] Due to the private sector application, it is necessary to provide a design and method whereby individual partitions or zones within the greenhouse can be created and controlled when no person is in the immediate vicinity to intervene. Forest safety and security through the detection system for the opening and closing of doors and / or windows can be integrated.

[0065] The control logic provides suggestions and forecasts for the coming days. This will allow the greenhouse to operate independently for several days without the user being present, provided there is sufficient storage, water, and electrical power. The sensors are wired to ensure that they continue to provide accurate data in the event of a wireless / Wi-Fi failure.

[0066] The plant programs can be individually expanded via a remote maintenance module or directly on the control system, and other messages can also be displayed and transmitted.

[0067] The project presents a modular solar greenhouse that ensures optimal and safe plant growth for all types of plants, regardless of external environmental influences, thus providing an ideal source of energy and food, especially for private consumption. This enables energy-independent self-sufficiency in vegetables and fruit. The increasingly extreme climatic conditions in summer and winter are also compensated for by integrating PV modules for energy-independent operation, combined with structural requirements such as high snow loads.

[0068] The energy feed-in, with the help of an intelligent functional solution and a modular design, is intended to ensure climate, temperature, lighting, and irrigation control based on individual plant requirements for optimal care and growth. Excess energy can be transferred or fed into the grid, enabling sustainable use beyond plant cultivation.

[0069] The greenhouse described above also boasts a sealed building envelope, optimized air circulation, and a modular design that allows for self-assembly despite offering customized configuration options. In addition, the relevant and optimal conditions for each plant will be collected in a database and made available to users. The care instructions provided here for everyday vegetables, as well as for rare varieties, will then be implemented using the greenhouse's control system to ensure their year-round viability.

[0070] It is understood that the features mentioned above and those to be explained below can be used not only in the combination specified in each case, but also in other combinations or on their own, without departing from the scope of the present invention.

[0071] Further advantages and embodiments of the invention will become apparent from the description and the accompanying drawings.

[0072] Short description of the drawing

[0073] Figure 1 shows a perspective view of an embodiment of the greenhouse described.

[0074] Figure 2 shows a representation of another embodiment of the greenhouse.

[0075] Figure 3 shows a schematic representation of an embodiment of the greenhouse presented.

[0076] Figure 4 shows a flow chart of a possible sequence of the presented procedure.

[0077] Embodiments of the invention

[0078] The invention is illustrated schematically in the drawing using embodiments and is described in detail below with reference to the drawing.

[0079] Figure 1 shows a perspective schematic representation of an embodiment of the greenhouse presented, which is designated overall by the reference numeral 10. The illustration shows a greenhouse 10 assembled according to the modular principle with a plurality of profile elements designed as longitudinal profile elements 12, edge profile elements 14 and roof profile elements 16. Filling elements 18 are inserted between the profile elements 12, 14, 16, which are designed in different lengths and thicknesses as required. For this purpose, receiving grooves (not visible here) are provided in the profile elements 12, 14, 16, in which the filling elements are received or inserted. In this embodiment, the filling elements 18 are designed as glass panes. However, other filling elements, even made of other materials, can also be used. Connecting elements are provided to connect the profile elements 12, 14, 16 to one another.In addition, chambers or grooves for guiding lines or cables can be provided in or on the connecting elements and profile elements.

[0080] The profile elements 12, 14, 16 form a frame or a supporting structure 20, which in its design is stable, in particular inherently stable, even without the filling elements 18.

[0081] The greenhouse 10 is thus provided as a kit with prefabricated components, the profile elements 12, 14, and 16. These profile elements 12, 14, and 16 can be assembled in various combinations to create individually plannable combinations.

[0082] In this design, the profile elements 12, 14, and 16 of the supporting structure feature hollow chamber profiles that can be plugged together using the connecting elements. The connection and thus the plugging together is only possible with the connecting elements. This ensures a twist-free arrangement.

[0083] It should be noted that the integration of various elements, such as sensors or photovoltaic elements, into the profile structure or profile elements 12, 14, 16, the roof, and / or facade elements is possible. This provides a building-integrated photovoltaic system.

[0084] Figure 2 shows another embodiment of the greenhouse presented, designated overall by reference numeral 50. The cover 52 of the greenhouse 50 is visible, which is made of a transparent material. Photovoltaic modules are arranged on this cover 52 to ensure the energy supply of the greenhouse 50.

[0085] Furthermore, the illustration in the greenhouse shows 50 plants of 60 different types, which generally require different care methods. This is taken into account here, for which purpose different partitions can be provided within the greenhouse. Information on the type of care and any possible incompatibility between different plants is retrieved by accessing a database containing the relevant information.

[0086] Furthermore, the illustration shows a well 62 from which a user can take water to water the plants 60, a waste container 64 and mats 66 in the entrance area of ​​the greenhouse 50.

[0087] The greenhouse 50 shown is designed to carry out the following processes to ensure functional climatic conditions.

[0088] 1. Collection of energy using PV modules and feeding into an accumulator.

[0089] 2. Based on the given climatic conditions outside and / or inside the greenhouse, the overall system carries out appropriate measures using the energy stored in the accumulator: a. A sensor system determines the internal energy requirement to compensate for external influences. A temperature control system, warm air, heat exchangers, cooling, etc., regulates the temperature to meet requirements depending on the heat input or heat loss to the outside. b. Based on the annual cycle, the appropriate light conditions are controlled for optimal UV radiation for the plants to carry out photosynthesis. c. A ventilation concept keeps the air flow within the greenhouse variable depending on the irrigation carried out and the resulting humidity.

[0090] 3. Aggregation of the obtained data and input into a database for referencing and validation of plant-dependent performance and stability.

[0091] The greenhouse 50 shown represents a functional, energy-self-sufficient solar greenhouse in which the climatic conditions for various plant types can be maintained. This is intended to significantly increase their lifespan and yield.

[0092] Figure 3 shows a highly simplified, purely schematic representation of a greenhouse 100 with which the method described herein can be carried out. For this purpose, an arrangement 102 is provided, which in turn has access to a database 104 and other components of the greenhouse. Components include, for example, controls 106, regulators 108, sensors 110, actuators 112, cables 114, safety devices 116, PV or solar modules 118, an energy storage device 120, a pump 122, a lighting system 124, an irrigation system 126, a ventilation device or aeration system 128, a heater 130, cooling devices 132, motors 134 for opening and closing windows and doors, a user interface 136, and a display 138, which can be embodied in a device with the user interface 136.

[0093] The user interface 136 can be used to intervene in the operation of the greenhouse 100 or to display information about this operation. Depending on the selected level of automation, which can also be entered and modified via the user interface 136, certain accesses are permitted and others are prohibited. Furthermore, access to the database 104 can be made, or information from this database 104 can be displayed. This can, in particular, also apply to warnings.

[0094] The arrangement 102 receives signals, for example from the sensors 110 and the user interface 136, processes them and then controls the other parts or components depending on the specifications made, typically via the actuators 112.

[0095] Solar collectors can also be provided to supply hot water or to heat partitions of the greenhouse or the entire greenhouse.

[0096] Figure 4 shows a possible sequence of the presented method. This method starts in a first step 200. In a step 202, the user enters via a user interface which plants are located where in the greenhouse. In a next step 204, they enter the degree of automation. In this case, they select fully automatic operation. An arrangement for carrying out the method then determines the correct procedure for caring for the plants in a step 206. If incompatible plants are located next to each other, a warning is issued. In a step 208, appropriate actuators are then controlled to carry out watering, lighting, ventilation, etc. Plants that are incompatible with each other, e.g., even if they have a specific spatial arrangement, can still be planted. Information on this can also be found in the database.

[0097] The sensors then check the conditions in the greenhouse in step 210 and, if necessary, monitor the condition of the plants. Steps 208 and 210 occur sequentially and / or simultaneously, and typically repeatedly.

[0098] For example, it can also be used to check whether a measure taken has the desired effect or whether a repeat of the measure or alternative measures is necessary. To do this, the system accesses a database containing information about the plants. If the system determines that certain information in the database does not reflect reality, this information can be adjusted. The overall system is thus capable of learning and adapting.

Claims

Claims 1. A method for operating a greenhouse (10, 50, 100), in which conditions in the greenhouse (10, 50, 100) are influenced by controlling components of the greenhouse (10, 50, 100), wherein control signals for controlling the components are determined, for which purpose signals from sensors (110) carrying information on the conditions in the greenhouse (10, 50, 100) are evaluated and data from a database (104) in which information on different plants (60) is stored are taken into account, wherein the database (104) is used to check the compatibility of different plants with one another.

2. Method according to claim 1, wherein the compatibility of plants to one another is determined on the basis of categories of the database (104) which are selected from a group consisting of water quantity, temperature and light.

3. Method according to claim 1 or 2, wherein the compatibility of the plants to each other is checked using a KO category of the fat bank.

4. Method according to one of claims 1 to 3, in which a degree of automation of the greenhouse (10, 50, 100) is specified.

5. The method according to claim 4, wherein the degree of automation is specified by a user.

6. Method according to one of claims 1 to 5, in which information on categories is stored in the database (104), which is selected from a group consisting of: name of the plant (60), variety, genus, family lie, species, compatibility category, neighborhood index, area requirement, space requirement, growth height, root depth, water requirement, temperature, growth temperature range, humidity, growth duration, diseases, sensitivities, pests.

7. The method according to any one of claims 1 to 6, wherein the method carries out processes selected from a group consisting of: collecting energy from photovoltaic modules (54, 118), supplying stored energy, determining an energy requirement, controlling lighting conditions, controlling ventilation, controlling irrigation, aggregating received data and storing the data in the database (104).

8. Method according to one of claims 1 to 7, in which suggestions for the care of plants (60) and / or for the selection of plants (60) are presented to a user, for which purpose information in the database (104) is accessed.

9. Arrangement for operating a greenhouse (10, 50, 100), which is set up to carry out a method according to one of claims 1 to 8 and to access a database (104) in which information on plants (60) is stored.

10. Arrangement according to claim 9, which is associated with a user interface (136).

11. Greenhouse which is designed to carry out a method according to one of claims 1 to 7 and to which an arrangement (102) according to claim 9 or 9 is assigned.

12. Greenhouse according to claim 1 1 , which is divided into several partitions.

13. Greenhouse according to claim 11 or 12, comprising components selected from a group consisting of: control (106), regulation (108), sensors (110), actuators (112), cables (114), safety device (116), photovoltaic module (54, 118), solar collector, energy storage (120), pump (122), lighting system (124), irrigation system (126), ventilation device (128), heating (130), cooling device (132), motors (134), user interface (136), display (138).

14. Greenhouse according to one of claims 11 to 13, which has a frame structure into which photovoltaic elements and / or sensors are integrated.

15. A computer program having program code means configured to execute a method according to one of claims 1 to 8 when the computer program is executed on a computing unit, in particular a computing unit in an arrangement according to claim 9 or 10.

16. A machine-readable storage medium having a computer program according to claim 15 stored thereon.