Energy Independent, Carbon Negative, AI-Powered Sustainable Hydroponic Farming Facility

The integrated agricultural system addresses the limitations of existing soilless farming by using solar energy, carbon capture, AI automation, and waste composting to achieve energy independence, zero waste, and negative carbon emissions, ensuring resilient food production.

TR202510912U3Pending Publication Date: 2026-10-21SÜLEYMAN TUNCER
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Patent Information

Application Number
TR202510912U
Authority / Receiving Office
TR · TR
Patent Type
Utility models
Current Assignee / Owner
Filing Date
2025-08-05
Publication Date
2026-10-21
Estimated Expiration
2035-08-05

AI Technical Summary

Technical Problem

Existing soilless farming systems rely on fossil fuels, lack holistic waste management, are not carbon neutral, and fail to maintain sustainability during disasters, limiting their accessibility and resilience.

Method used

An integrated agricultural system utilizing solar energy, carbon dioxide capture and recycling, artificial intelligence for automation and disease detection, composting waste, and electric logistics to ensure energy independence, zero waste, and disaster resilience.

Benefits of technology

The system achieves energy independence, zero waste, and negative carbon emissions while maintaining uninterrupted food production during disasters, enhancing production efficiency and reducing carbon footprint.

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Abstract

This utility model application relates to a carbon-negative, energy-independent, and AI-powered soilless farming facility. The system consists of hydroponic ponds, a rail-mounted AI-powered camera module, a DAC unit that captures CO₂ from the atmosphere and delivers it into the greenhouse, a gas mixing and compressor module, automation software, and solar energy infrastructure. The system's automation software processes sensor data and uses AI algorithms to compare different growing environments within the greenhouse, identifying the most efficient conditions and applying them throughout the facility. The system recycles plant waste in a composting unit and supports the negative carbon target by distributing it using electric vehicles. This structure offers a modular, environmentally friendly solution that can be used in disaster areas and in sustainable urban production.
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Description

1 TARIFF Energy Independent, Carbon Negative, AI-Powered Sustainable Hydroponic Farming 5 The facility Technical Area This utility model application focuses on soilless (hydroponic) farming technologies, supported by artificial intelligence. automation systems, solar-powered energy infrastructures, carbon capture and recycling 10 sustainable production components such as injection systems, composting and zero waste management It relates to an agricultural production facility that operates in an integrated manner. The invention is particularly relevant in the context of disasters and crises. Even in these situations, it can provide energy, water and food independence, be environmentally friendly and self-sufficient. It offers a capable production infrastructure. The system is a highly efficient, automated system with a low carbon footprint, located in or near the city. It was developed to enable agricultural production that is resistant to environmental conditions. These 15 Meet in terms of aspects such as: agricultural technologies, automation and artificial intelligence systems, sustainable energy. solutions, integrated production with carbon management, environmental engineering and disaster resilience. It is directly related to technical areas such as infrastructure. State of the Art 20 Soilless farming technologies are gaining popularity worldwide, especially for urban farming and controlled environment production. It is used in various applications such as vertical farming, hydroponic systems, and greenhouse automation. These systems have various application areas. These systems typically include applications such as air conditioning, irrigation, and lighting. Basic production parameters are automatically controlled. Furthermore, in some advanced applications... Production efficiency is being increased with artificial intelligence-based monitoring systems and IoT sensors. Studies are being conducted. However, the vast majority of existing systems rely on fossil fuel energy. It operates dependently and is unable to offer a holistic solution in terms of waste management and carbon emissions. It loses its sustainability in disaster conditions and fails to achieve carbon neutrality or negative carbon targets. It is not accessible. In addition, the artificial and controlled return of CO₂ to the agricultural environment (carbon) injection is either implemented in very limited systems or these systems are integrated with other infrastructures. 30 It is used without being damaged. For all these reasons, it is energy independent, zero waste, carbon negative and disaster resistant. The need for a robust, integrated agricultural system has emerged. 2 Purpose of the Invention 5 The aim of this invention is to provide solutions to problems in the current state of the art in soilless farming. an agricultural system based on principles that is environmentally friendly, energy independent, automated, and highly resilient to disasters. to provide production infrastructure and thereby enable sustainable food production in urban and rural areas The goal is to make it possible. Through invention; • Establishing an energy infrastructure that is independent of external sources by using solar energy, 10 • By efficiently capturing carbon dioxide from the air and feeding it back into the agricultural environment. achieving negative carbon emissions, • Automation of the entire process from seed to harvest, • Disease detection and climate management through systems using artificial intelligence algorithms. and achieving resource optimization, 15 • By composting the generated waste and bringing it back into the cycle, a zero-waste system is established. establishment, • Ensuring the uninterrupted supply of food and drinking water, essential for production and life, even during disasters. to be able to continue in this way, • Thanks to logistics carried out with electric vehicles, the process of getting products to the consumer is also 20% faster. Preventing carbon emissions, • Training an artificial intelligence model using data obtained from diseased plants, and improvement is the aim. Explanation of the Figures Figure 1: Facility Units 25 Figure 2: Technical View of the Hydroponic Greenhouse and Pond System Figure 3: AI-Powered Camera and Plant Monitoring System Figure 4: CO₂ Capture and Recycling System Explanation of References in Figures 10: Greenhouse 30 11: DAC (Carbon Capture Device) 12: Automation System 13: Solar Panels 3 14: Washing Unit 5 15: Cutting Unit 16: Packaging Unit 17: Cold Storage 18: Vehicle with Electric Refrigerator 19: Plant Observation Area 10 20: Composting Unit 21: R&D and Workshop Area 22: Hydroponic Pool 23: Transparent Pool Border 24: Floating Rack System 15 25: Oxygen Delivery Tube to Plant Roots 26: Oxygen Tube 27: Carbon Dioxide Distribution Pipe 28: Rail System for AI Camera 29: Disease Detection Camera 20 30: Carbon Dioxide Pipe 31: High-Density Carbon Dioxide Pipe 32: Compressor 33: Air Pipe 34: Automatic Adjustable Gas Mixer 25 35: Diluted Carbon Dioxide Cylinder 36: Rail Fixing Plate 37: Ray 38: Ray Ears 39: NFC Tag 30 40: Mini Computer 4 41: Servo Motor 5 42: Wheel 43: Camera Description of the Invention The system described in this invention involves the integration of the following units within a production facility: is implemented: 10 1. Energy Production System: The facility's energy needs are met by solar panels (13) installed on the site. This is met through a system that includes an energy storage unit (battery). It is designed to operate off-grid with support. 2. Water Management and Treatment: Rainwater harvesting systems and groundwater well supply. The raw water obtained is passed through multi-stage purification filters and is used for both agricultural and drinking water. The recovered wastewater is filtered and made suitable for use and reintroduced into the system. is included. 3. Soilless Farming Production Area: Production takes place in a soilless (hydroponic) greenhouse (10). It is carried out in system pools (22). Seeds sown with automatic machines are placed on floating racks. On the systems (24); oxygen is supplied to the roots by means of oxygenation tube (25, 26), the environment 20 monitors variables such as temperature, humidity, light, water level and pH using sensors, and It grows in an environment algorithmically controlled by an automation system (12). 4. Carbon Capture and CO₂ Recycling: The facility has a DAC that captures carbon from the atmosphere. It is equipped with a (Direct Air Capture) unit (11). The captured CO₂ gas is passed through a compressor (32) and in a controlled and diluted manner via the mixing system (30, 31, 33, 34, 35), 25 carbon dioxide from the distribution pipe (27) just above the production pools (22) of the plants is released to the level. CO₂ is heavier than air and the raised transparent pool edges (23) Thanks to this application, it provides high efficiency in supporting photosynthesis and the gas is delivered in situ. It aims to keep it under control. 5. Artificial Intelligence and Automation: Automation system (12), predictive modeling and artificial intelligence 30 Using algorithms, sensor data is used to control climate control, lighting, irrigation, and nutrition. Automatically optimizes supplementation, disease detection, growth analysis, and resource consumption. does. 6. Rail Camera and Disease Detection: Back and forth movement on hydroponic pools (22) A camera (29, 43) mounted on a camera rail system (28) monitors the plants regularly. It scans as follows: Camera carrier system (36, 37, 38, 41, 42), a mini computer (40), servo 5 Includes motor (41) and NFC reader (39). Images show the plate read by NFC tag (39). By matching it with its number, possible diseases are detected algorithmically. The patient is seen... The plants are removed from the system and kept in a separate plant observation area (19), and from these plants The data obtained is used to improve the predictive accuracy of the artificial intelligence model. It is added to the set and used in retraining the model. 10 7. Processing and Packaging: Harvested plants are transported via conveyor belts using automated systems. It is transferred to the processing section where washing (14), cutting (15) and packaging (16) operations are performed. The products are stored in cold storage (17). 8. Composting and Waste Recycling: Plant waste is automatically fed into the composting unit. (20) are transported and composted in the system by a process optimized with sensors 15 It can be reused. 9. Electric Logistics: Packaged products are transported within the city by electric refrigerated vehicles (18). By integrating it into the distribution system, the goal of zero carbon emissions is maintained. 10. Redundancy for Disaster Scenarios: The facility ensures redundancy for energy, water, and production systems in the event of a disaster. It is designed to ensure uninterrupted production through redundant and independent operation. Furthermore, 20 The treated water is of a quality suitable for drinking.

Claims

6 REQUIREMENTS 5 1. The invention consists of hydroponic ponds (22) in which plants are grown inside a greenhouse (10) and a It is a soilless farming facility that includes an automation system (12), and its feature is that the facility is connected to the grid. solar panels (13) that meet the independent energy needs, reduce carbon dioxide in the atmosphere a DAC (Direct Air Capture) unit (11) to capture the captured carbon dioxide A feedback system that delivers controlled amounts of water directly to the area where plants are grown. (27, 30, 31, 32, 33, 34, 35), hydroponics for monitoring the growth and health of plants. AI-powered systems mounted on rail systems (28) that move over pools (22). It includes a camera (29, 43), and a composting unit (20).

2. It is an agricultural facility according to claim 1, and its feature is that it has an AI-powered camera (43) on it. a minicomputer (40), at least one servo motor (41) that moves the wheels (42) and the plant to a carrier (36, which houses an NFC tag (39) reader to identify its groups, 37, 38) is that it is assembled.

3. According to Claim 1, it is an agricultural facility whose characteristic is that it has a carbon dioxide recirculation system. A compressor (32) and an automatic system are used to dilute the captured CO₂ by mixing it with air. It includes an adjustable gas mixer (34).

4. It is an agricultural facility according to claim 1, and its characteristic is that hydroponic ponds (22) are fed CO₂ transparent designed to allow the gas to remain at the plant level for a longer period of time It has pool edges (23).

5. According to Claim 1, it is an agricultural facility whose characteristic is that the distribution of the harvested products is zero. To maintain the carbon target, it is done with electric refrigerated vehicles (18).

6. According to Claim 1, it is an agricultural facility whose characteristic is that it is detected as diseased by artificial intelligence. The collected plants were separated from the system and a plant observation was conducted in order to improve the data. (19) is taken into the area.

7. It is an agricultural facility according to claim 1, and its characteristic is; automation system (12), greenhouse (10) By changing factors such as humidity, temperature, and light, multiple different growths can occur within it. by creating the environment and comparing plant growth data from these environments, Identifying the efficient parameter set and the corresponding control parameters to that set It is a facility-wide application.