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Submit Your RenderSolar Panel Power IoT pH Nutrient Control Hydroponic Plant 3D Model
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specialist modeler : solidworks, autocad, inventor, sketchup, 3dsmax,
License
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: | 247.1 MB |
| Game Ready: | – |
| Polygons: | 907,875 |
| Vertices: | 659,730 |
| 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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Solar Panel Power IoT pH Nutrient Control 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 HYDROPONIC PLANT WITH SOLAR PANEL POWER" refers to an advanced, automated soilless cultivation system that leverages Internet of Things (IoT) technology for precise environmental management and is powered by renewable solar energy. This integrated system represents a convergence of modern agricultural practices, digital automation, and sustainable energy solutions, designed to optimize plant growth and resource utilization.
**Core System Description:**
The fundamental objective of this system is to cultivate plants hydroponically, meaning without soil, by supplying nutrient-rich water directly to their root systems. The "SMART IoT" component enables real-time monitoring and autonomous control over critical plant growth parameters, primarily pH levels and nutrient concentrations (often measured as Electrical Conductivity, EC). The entire operation is made self-sustaining or grid-independent through the integration of solar panel power.
**Hydroponic Cultivation:**
Hydroponics involves growing plants in inert media or directly in water, delivering all necessary mineral nutrients dissolved in the water. This method offers several advantages over traditional soil-based agriculture, including significantly reduced water consumption (due to recirculation), faster growth rates, higher yields per unit area, and minimized pest and disease issues. Common hydroponic techniques compatible with such a system include Nutrient Film Technique (NFT), Deep Water Culture (DWC), and Drip Systems.
**Smart IoT Integration for Control:**
1. **Sensors:** The system incorporates a suite of sensors to continuously monitor key parameters:
* **pH Sensor:** Measures the acidity or alkalinity of the nutrient solution, crucial for nutrient availability and uptake by plants.
* **EC/TDS Sensor:** Measures the Electrical Conductivity or Total Dissolved Solids, indicating the concentration of dissolved mineral nutrients in the water.
* **Water Level Sensor:** Monitors the volume of nutrient solution in the reservoir, triggering refills or alerts.
* **Temperature Sensors:** Measure the temperature of both the nutrient solution and the ambient air, as these affect plant metabolic rates and oxygen solubility.
2. **Microcontroller/Processing Unit:** A central processing unit (e.g., Arduino, Raspberry Pi, ESP32) acts as the brain, collecting data from sensors, executing control algorithms, and managing communication.
3. **IoT Connectivity:** Data collected by sensors is transmitted wirelessly (e.g., Wi-Fi, LoRa, cellular) to a cloud-based platform or local server. This enables:
* **Remote Monitoring:** Users can access real-time data, historical trends, and system status from any internet-connected device.
* **Remote Control:** Users can adjust setpoints, override automated actions, or initiate specific operations remotely.
* **Alerts and Notifications:** The system can send automated alerts via email or SMS for critical events, such as low water levels, out-of-range pH/EC, or power failures.
4. **Actuators:** Based on sensor data and programmed setpoints, the microcontroller controls various actuators:
* **Dosing Pumps:** Precision pumps automatically inject pH adjusters (acid or base) to maintain the optimal pH range and concentrated nutrient solutions (e.g., A, B, C) to keep the EC at the desired level.
* **Water Pump:** Circulates the nutrient solution to the plants and can be used for automatic reservoir refilling.
* **Aeration Pump:** (Optional) Provides oxygen to the roots in DWC systems.
**pH and Nutrient Control Logic:**
The system employs a closed-loop feedback control mechanism. The microcontroller constantly compares sensor readings (e.g., current pH, EC) with predefined optimal ranges for the specific plant species. If a deviation is detected, the system activates the appropriate dosing pumps to incrementally adjust the pH (e.g., inject acid to lower pH, base to raise pH) or nutrient concentration until the desired setpoint is reached. This precise, automated control minimizes manual intervention, reduces nutrient waste, and ensures plants consistently receive optimal growing conditions.
**Solar Panel Power Integration:**
To enhance sustainability and operational independence, the system is powered by solar energy. This typically involves:
1. **Solar Panels (Photovoltaic Modules):** Convert sunlight directly into direct current (DC) electricity.
2. **Charge Controller:** Regulates the voltage and current from the solar panels to prevent overcharging or deep discharging of the battery.
3. **Battery Bank:** Stores excess solar energy generated during daylight hours to power the system continuously, including at night or during cloudy periods.
4. **Inverter (Optional):** If AC components (e.g., larger pumps, lights) are used, an inverter converts DC battery power to alternating current (AC).
This solar integration makes the system suitable for off-grid locations, reduces electricity costs, and lowers the carbon footprint associated with cultivation.
**Benefits and Applications:**
This "SMART IoT PH Nutrient Control Hydroponic Plant with Solar Panel Power" offers numerous benefits: enhanced resource efficiency (water, nutrients), optimized plant health and yield through precise control, reduced labor requirements, scalability for various cultivation sizes (from small home gardens to commercial farms), and environmental sustainability due to reduced water waste and reliance on renewable energy. It finds applications in urban farming, research, educational settings, and remote agricultural operations where grid power may be unreliable or unavailable.
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 HYDROPONIC PLANT WITH SOLAR PANEL POWER" refers to an advanced, automated soilless cultivation system that leverages Internet of Things (IoT) technology for precise environmental management and is powered by renewable solar energy. This integrated system represents a convergence of modern agricultural practices, digital automation, and sustainable energy solutions, designed to optimize plant growth and resource utilization.
**Core System Description:**
The fundamental objective of this system is to cultivate plants hydroponically, meaning without soil, by supplying nutrient-rich water directly to their root systems. The "SMART IoT" component enables real-time monitoring and autonomous control over critical plant growth parameters, primarily pH levels and nutrient concentrations (often measured as Electrical Conductivity, EC). The entire operation is made self-sustaining or grid-independent through the integration of solar panel power.
**Hydroponic Cultivation:**
Hydroponics involves growing plants in inert media or directly in water, delivering all necessary mineral nutrients dissolved in the water. This method offers several advantages over traditional soil-based agriculture, including significantly reduced water consumption (due to recirculation), faster growth rates, higher yields per unit area, and minimized pest and disease issues. Common hydroponic techniques compatible with such a system include Nutrient Film Technique (NFT), Deep Water Culture (DWC), and Drip Systems.
**Smart IoT Integration for Control:**
1. **Sensors:** The system incorporates a suite of sensors to continuously monitor key parameters:
* **pH Sensor:** Measures the acidity or alkalinity of the nutrient solution, crucial for nutrient availability and uptake by plants.
* **EC/TDS Sensor:** Measures the Electrical Conductivity or Total Dissolved Solids, indicating the concentration of dissolved mineral nutrients in the water.
* **Water Level Sensor:** Monitors the volume of nutrient solution in the reservoir, triggering refills or alerts.
* **Temperature Sensors:** Measure the temperature of both the nutrient solution and the ambient air, as these affect plant metabolic rates and oxygen solubility.
2. **Microcontroller/Processing Unit:** A central processing unit (e.g., Arduino, Raspberry Pi, ESP32) acts as the brain, collecting data from sensors, executing control algorithms, and managing communication.
3. **IoT Connectivity:** Data collected by sensors is transmitted wirelessly (e.g., Wi-Fi, LoRa, cellular) to a cloud-based platform or local server. This enables:
* **Remote Monitoring:** Users can access real-time data, historical trends, and system status from any internet-connected device.
* **Remote Control:** Users can adjust setpoints, override automated actions, or initiate specific operations remotely.
* **Alerts and Notifications:** The system can send automated alerts via email or SMS for critical events, such as low water levels, out-of-range pH/EC, or power failures.
4. **Actuators:** Based on sensor data and programmed setpoints, the microcontroller controls various actuators:
* **Dosing Pumps:** Precision pumps automatically inject pH adjusters (acid or base) to maintain the optimal pH range and concentrated nutrient solutions (e.g., A, B, C) to keep the EC at the desired level.
* **Water Pump:** Circulates the nutrient solution to the plants and can be used for automatic reservoir refilling.
* **Aeration Pump:** (Optional) Provides oxygen to the roots in DWC systems.
**pH and Nutrient Control Logic:**
The system employs a closed-loop feedback control mechanism. The microcontroller constantly compares sensor readings (e.g., current pH, EC) with predefined optimal ranges for the specific plant species. If a deviation is detected, the system activates the appropriate dosing pumps to incrementally adjust the pH (e.g., inject acid to lower pH, base to raise pH) or nutrient concentration until the desired setpoint is reached. This precise, automated control minimizes manual intervention, reduces nutrient waste, and ensures plants consistently receive optimal growing conditions.
**Solar Panel Power Integration:**
To enhance sustainability and operational independence, the system is powered by solar energy. This typically involves:
1. **Solar Panels (Photovoltaic Modules):** Convert sunlight directly into direct current (DC) electricity.
2. **Charge Controller:** Regulates the voltage and current from the solar panels to prevent overcharging or deep discharging of the battery.
3. **Battery Bank:** Stores excess solar energy generated during daylight hours to power the system continuously, including at night or during cloudy periods.
4. **Inverter (Optional):** If AC components (e.g., larger pumps, lights) are used, an inverter converts DC battery power to alternating current (AC).
This solar integration makes the system suitable for off-grid locations, reduces electricity costs, and lowers the carbon footprint associated with cultivation.
**Benefits and Applications:**
This "SMART IoT PH Nutrient Control Hydroponic Plant with Solar Panel Power" offers numerous benefits: enhanced resource efficiency (water, nutrients), optimized plant health and yield through precise control, reduced labor requirements, scalability for various cultivation sizes (from small home gardens to commercial farms), and environmental sustainability due to reduced water waste and reliance on renewable energy. It finds applications in urban farming, research, educational settings, and remote agricultural operations where grid power may be unreliable or unavailable.
