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Submit Your RenderSmart IoT pH Nutrient Control Monitor NFT Hydroponic Plant 3D Model
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Extended Use License
This item comes with our Extended Use Licensing. This means that you may use the model for both non-commercial and commercial purposes, in a variety of mediums and applications.
For full license terms, see our 3D Content Licensing Agreement
3D Model Details
| Vendor: | surf3d |
| Published: | Sep 17, 2025 |
| Download Size: | 220.7 MB |
| Game Ready: | – |
| Polygons: | 836,280 |
| Vertices: | 594,654 |
| Print Ready: | – |
| 3D Scan: | – |
| Textures: | – |
| Materials: | Yes |
| UV Mapped: | – |
| PBR: | – |
| Rigged: | – |
| Animated: | – |
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| Favorites: | 0 |
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| Views: | 1 |
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Smart IoT pH Nutrient Control Monitor NFT Hydroponic Plant 3D Model
High-quality 3D assets at affordable prices — trusted by designers, engineers, and creators worldwide. Made with care to be versatile, accessible, and ready for your pipeline.
Included File Formats
This model is provided in 14 widely supported formats, ensuring maximum compatibility:
• - FBX (.fbx) – Standard format for most 3D software and pipelines
• - OBJ + MTL (.obj, .mtl) – Wavefront format, widely used and compatible
• - STL (.stl) – Exported mesh geometry; may be suitable for 3D printing with adjustments
• - STEP (.step, .stp) – CAD format using NURBS surfaces
• - IGES (.iges, .igs) – Common format for CAD/CAM and engineering workflows (NURBS)
• - SAT (.sat) – ACIS solid model format (NURBS)
• - DAE (.dae) – Collada format for 3D applications and animations
• - glTF (.glb) – Modern, lightweight format for web, AR, and real-time engines
• - 3DS (.3ds) – Legacy format with broad software support
• - 3ds Max (.max) – Provided for 3ds Max users
• - Blender (.blend) – Provided for Blender users
• - SketchUp (.skp) – Compatible with all SketchUp versions
• - AutoCAD (.dwg) – Suitable for technical and architectural workflows
• - Rhino (.3dm) – Provided for Rhino users
Model Info
• - All files are checked and tested for integrity and correct content
• - Geometry uses real-world scale; model resolution varies depending on the product (high or low poly)
• • - Scene setup and mesh structure may vary depending on model complexity
• - Rendered using Luxion KeyShot
• - Affordable price with professional detailing
Buy with confidence. Quality and compatibility guaranteed.
If you have any questions about the file formats, feel free to send us a message — we're happy to assist you!
Sincerely,
SURF3D
Trusted source for professional and affordable 3D models.
More Information About 3D Model :
A "SMART IoT pH Nutrient Control Monitor for NFT Hydroponic Plant Farm" represents an advanced, automated agricultural system designed for precision soilless cultivation. This integrated platform leverages Internet of Things (IoT) technology to continuously monitor, analyze, and precisely control critical environmental parameters within a Nutrient Film Technique (NFT) hydroponic setup, thereby optimizing plant growth and resource utilization. The "SMART" designation underscores its capability for intelligent automation, data-driven decision-making, and remote management, transitioning traditional hydroponics into a highly efficient, digitally managed operation.
**Core Functionality and Automation:**
At its heart, the system is engineered to maintain an ideal nutrient solution environment for plants grown using the NFT method. Key parameters continuously monitored include pH (potential of hydrogen) and Electrical Conductivity (EC), which serves as a reliable proxy for the total dissolved solids (TDS) and thus the concentration of essential plant nutrients.
* **Monitoring**: A network of specialized, industrial-grade sensors continuously measures the pH and EC levels of the recirculating nutrient solution. Temperature sensors often accompany these to account for temperature's influence on pH and EC readings, and sometimes dissolved oxygen (DO) sensors are included for comprehensive root zone health assessment.
* **Control and Dosing**: The real-time data from these sensors is transmitted to a central control unit, typically a programmable logic controller (PLC) or a powerful microcontroller. This unit compares real-time sensor readings against pre-defined optimal setpoints specific to the crop and its current growth stage. If deviations from these setpoints are detected, the system autonomously activates precision dosing pumps. For pH regulation, these pumps inject minute quantities of acid or base solutions (e.g., nitric acid for lowering pH, potassium hydroxide for raising pH) until the desired level is restored. For nutrient management, concentrated stock solutions of macro and micronutrients are dosed to maintain the target EC level, ensuring plants receive a balanced and consistent nutrient supply. This closed-loop control system minimizes human intervention, eliminates variability, and prevents nutrient lockouts or toxicities.
**IoT Integration and Data Analytics:**
The "IoT" component is fundamental, facilitating connectivity and remote operability across the entire farm.
* **Connectivity**: Sensors, dosing pumps, and the central control unit are interconnected and communicate with an IoT gateway. This gateway then transmits aggregated data to a secure cloud-based platform or a local server via standard internet protocols (e.g., Wi-Fi, Ethernet, cellular).
* **Remote Monitoring and Control**: Operators can access a dedicated dashboard or mobile application from any internet-enabled device to view real-time data, historical trends, and comprehensive system status. This enables proactive management, allowing users to receive immediate alerts for out-of-range parameters, review performance logs, and remotely adjust setpoints or control specific operations (e.g., manual dosing overrides, scheduling changes) from any location.
* **Data Analytics**: The continuous stream of data collected (pH, EC, temperature, dissolved oxygen, dosing events, pump runtimes, and potentially plant growth metrics) can be subjected to advanced analytics. This allows for the identification of patterns, correlation of specific environmental conditions with plant health and growth rates, predictive maintenance of equipment, and iterative optimization of nutrient recipes over time. Machine learning algorithms can be employed to refine control strategies, leading to even greater efficiency, yield, and consistency.
**NFT Hydroponic System:**
The Nutrient Film Technique (NFT) is a widely adopted soilless cultivation method characterized by a very shallow, recirculating stream of water containing dissolved nutrients flowing over the bare roots of plants. The roots are exposed to a thin film of nutrient solution, ensuring consistent access to water and dissolved nutrients while simultaneously allowing ample oxygenation due to the exposed root mass. This method is highly efficient in water and nutrient use, reduces the risk of waterborne diseases compared to some other hydroponic methods, and is particularly well-suited for automation due to its closed-loop nature and adaptability for modular, stackable designs prevalent in modern vertical farming.
**Advantages and Applications:**
The "SMART IoT pH Nutrient Control Monitor" offers significant advantages over traditional cultivation methods:
* **Resource Efficiency**: Achieves substantial reductions in water and nutrient consumption, minimizing environmental impact and operational costs.
* **Increased Yield and Quality**: Stable and optimized growing conditions lead to accelerated growth cycles, higher crop yields, and superior, more consistent crop quality.
* **Reduced Labor**: Automation significantly lowers manual labor requirements for monitoring and adjusting nutrient solutions, allowing staff to focus on other tasks.
* **Scalability and Flexibility**: The modular nature of NFT combined with smart control makes these systems suitable for various scales of operation, from small indoor farms to large commercial greenhouses, and adaptable to different crop types (e.g., leafy greens, herbs, strawberries).
* **Data-Driven Optimization**: Continuous data collection and analysis enable precise adjustments, predictive capabilities, and long-term improvements in cultivation strategies.
* **Sustainability**: Contributes significantly to sustainable agriculture practices by minimizing environmental footprint and maximizing resource productivity.
These sophisticated systems are increasingly deployed in controlled environment agriculture (CEA), including vertical farms, urban farms, research facilities, and commercial greenhouses, fostering a new era of precision, data-intensive, and sustainable food production.
Included File Formats
This model is provided in 14 widely supported formats, ensuring maximum compatibility:
• - FBX (.fbx) – Standard format for most 3D software and pipelines
• - OBJ + MTL (.obj, .mtl) – Wavefront format, widely used and compatible
• - STL (.stl) – Exported mesh geometry; may be suitable for 3D printing with adjustments
• - STEP (.step, .stp) – CAD format using NURBS surfaces
• - IGES (.iges, .igs) – Common format for CAD/CAM and engineering workflows (NURBS)
• - SAT (.sat) – ACIS solid model format (NURBS)
• - DAE (.dae) – Collada format for 3D applications and animations
• - glTF (.glb) – Modern, lightweight format for web, AR, and real-time engines
• - 3DS (.3ds) – Legacy format with broad software support
• - 3ds Max (.max) – Provided for 3ds Max users
• - Blender (.blend) – Provided for Blender users
• - SketchUp (.skp) – Compatible with all SketchUp versions
• - AutoCAD (.dwg) – Suitable for technical and architectural workflows
• - Rhino (.3dm) – Provided for Rhino users
Model Info
• - All files are checked and tested for integrity and correct content
• - Geometry uses real-world scale; model resolution varies depending on the product (high or low poly)
• • - Scene setup and mesh structure may vary depending on model complexity
• - Rendered using Luxion KeyShot
• - Affordable price with professional detailing
Buy with confidence. Quality and compatibility guaranteed.
If you have any questions about the file formats, feel free to send us a message — we're happy to assist you!
Sincerely,
SURF3D
Trusted source for professional and affordable 3D models.
More Information About 3D Model :
A "SMART IoT pH Nutrient Control Monitor for NFT Hydroponic Plant Farm" represents an advanced, automated agricultural system designed for precision soilless cultivation. This integrated platform leverages Internet of Things (IoT) technology to continuously monitor, analyze, and precisely control critical environmental parameters within a Nutrient Film Technique (NFT) hydroponic setup, thereby optimizing plant growth and resource utilization. The "SMART" designation underscores its capability for intelligent automation, data-driven decision-making, and remote management, transitioning traditional hydroponics into a highly efficient, digitally managed operation.
**Core Functionality and Automation:**
At its heart, the system is engineered to maintain an ideal nutrient solution environment for plants grown using the NFT method. Key parameters continuously monitored include pH (potential of hydrogen) and Electrical Conductivity (EC), which serves as a reliable proxy for the total dissolved solids (TDS) and thus the concentration of essential plant nutrients.
* **Monitoring**: A network of specialized, industrial-grade sensors continuously measures the pH and EC levels of the recirculating nutrient solution. Temperature sensors often accompany these to account for temperature's influence on pH and EC readings, and sometimes dissolved oxygen (DO) sensors are included for comprehensive root zone health assessment.
* **Control and Dosing**: The real-time data from these sensors is transmitted to a central control unit, typically a programmable logic controller (PLC) or a powerful microcontroller. This unit compares real-time sensor readings against pre-defined optimal setpoints specific to the crop and its current growth stage. If deviations from these setpoints are detected, the system autonomously activates precision dosing pumps. For pH regulation, these pumps inject minute quantities of acid or base solutions (e.g., nitric acid for lowering pH, potassium hydroxide for raising pH) until the desired level is restored. For nutrient management, concentrated stock solutions of macro and micronutrients are dosed to maintain the target EC level, ensuring plants receive a balanced and consistent nutrient supply. This closed-loop control system minimizes human intervention, eliminates variability, and prevents nutrient lockouts or toxicities.
**IoT Integration and Data Analytics:**
The "IoT" component is fundamental, facilitating connectivity and remote operability across the entire farm.
* **Connectivity**: Sensors, dosing pumps, and the central control unit are interconnected and communicate with an IoT gateway. This gateway then transmits aggregated data to a secure cloud-based platform or a local server via standard internet protocols (e.g., Wi-Fi, Ethernet, cellular).
* **Remote Monitoring and Control**: Operators can access a dedicated dashboard or mobile application from any internet-enabled device to view real-time data, historical trends, and comprehensive system status. This enables proactive management, allowing users to receive immediate alerts for out-of-range parameters, review performance logs, and remotely adjust setpoints or control specific operations (e.g., manual dosing overrides, scheduling changes) from any location.
* **Data Analytics**: The continuous stream of data collected (pH, EC, temperature, dissolved oxygen, dosing events, pump runtimes, and potentially plant growth metrics) can be subjected to advanced analytics. This allows for the identification of patterns, correlation of specific environmental conditions with plant health and growth rates, predictive maintenance of equipment, and iterative optimization of nutrient recipes over time. Machine learning algorithms can be employed to refine control strategies, leading to even greater efficiency, yield, and consistency.
**NFT Hydroponic System:**
The Nutrient Film Technique (NFT) is a widely adopted soilless cultivation method characterized by a very shallow, recirculating stream of water containing dissolved nutrients flowing over the bare roots of plants. The roots are exposed to a thin film of nutrient solution, ensuring consistent access to water and dissolved nutrients while simultaneously allowing ample oxygenation due to the exposed root mass. This method is highly efficient in water and nutrient use, reduces the risk of waterborne diseases compared to some other hydroponic methods, and is particularly well-suited for automation due to its closed-loop nature and adaptability for modular, stackable designs prevalent in modern vertical farming.
**Advantages and Applications:**
The "SMART IoT pH Nutrient Control Monitor" offers significant advantages over traditional cultivation methods:
* **Resource Efficiency**: Achieves substantial reductions in water and nutrient consumption, minimizing environmental impact and operational costs.
* **Increased Yield and Quality**: Stable and optimized growing conditions lead to accelerated growth cycles, higher crop yields, and superior, more consistent crop quality.
* **Reduced Labor**: Automation significantly lowers manual labor requirements for monitoring and adjusting nutrient solutions, allowing staff to focus on other tasks.
* **Scalability and Flexibility**: The modular nature of NFT combined with smart control makes these systems suitable for various scales of operation, from small indoor farms to large commercial greenhouses, and adaptable to different crop types (e.g., leafy greens, herbs, strawberries).
* **Data-Driven Optimization**: Continuous data collection and analysis enable precise adjustments, predictive capabilities, and long-term improvements in cultivation strategies.
* **Sustainability**: Contributes significantly to sustainable agriculture practices by minimizing environmental footprint and maximizing resource productivity.
These sophisticated systems are increasingly deployed in controlled environment agriculture (CEA), including vertical farms, urban farms, research facilities, and commercial greenhouses, fostering a new era of precision, data-intensive, and sustainable food production.
