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Submit Your RenderIoT Hydroponic Plant Control Water Drip Irrigation System 3D Model
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Extended Use License (IP Restricted)
This item comes with our Extended Use Licensing. This means that you may use the model in a variety of mediums and applications. But, because certain intellectual property depicted in this model may not be affiliated with or endorsed by the original rights holder, this model is subject to an Editorial Use Only Restriction which limits the ways in which you may use this model.
For full license terms, see our 3D Content Licensing Agreement
3D Model Details
| Vendor: | surf3d |
| Published: | Sep 26, 2025 |
| Download Size: | 77.1 MB |
| Game Ready: | – |
| Polygons: | 203,005 |
| Vertices: | 159,086 |
| Print Ready: | – |
| 3D Scan: | – |
| Textures: | – |
| Materials: | Yes |
| UV Mapped: | – |
| PBR: | – |
| Rigged: | – |
| Animated: | – |
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| Views: | 1 |
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IoT Hydroponic Plant Control Water Drip Irrigation System 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 :
An "IoT Hydroponic Plant Auto Control Water Drip Irrigation System" represents a sophisticated technological integration designed for the autonomous management of nutrient and water delivery in soil-less cultivation environments. This system leverages the principles of the Internet of Things (IoT) to monitor, control, and optimize the crucial parameters of hydroponic plant growth, specifically focusing on precise water and nutrient drip irrigation. Its primary objective is to enhance resource efficiency, improve plant health, and maximize yields through data-driven automation, minimizing manual intervention.
**Core Components and Architecture:**
The system is fundamentally composed of several interconnected elements that facilitate its automated operation:
1. **Sensors:** These are the data acquisition units, crucial for real-time monitoring of key environmental and solution parameters. Common sensors include:
* **pH Sensors:** To measure the acidity or alkalinity of the nutrient solution, critical for nutrient uptake.
* **Electrical Conductivity (EC) Sensors:** To quantify the concentration of dissolved nutrient salts in the solution.
* **Water Temperature Sensors:** To monitor the temperature of the nutrient solution, which affects oxygen solubility and plant metabolic rates.
* **Ambient Temperature and Humidity Sensors:** To monitor the growing environment, though less directly tied to drip irrigation control.
2. **Microcontroller/Microprocessor Unit (MCU/MPU):** Serving as the central processing unit, often a low-power embedded board (e.g., ESP32, Arduino, Raspberry Pi). It receives data from sensors, processes it according to programmed algorithms, compares it against predefined optimal thresholds, and generates control signals for actuators.
3. **Communication Module:** Enables the IoT aspect by facilitating data transmission. Typically, Wi-Fi, Bluetooth Low Energy (BLE), or cellular modules (e.g., GSM/LTE) are used to send sensor data and system status to a cloud-based platform or a local server.
4. **Actuators:** These are the electromechanical devices that execute physical actions based on signals from the microcontroller. Key actuators include:
* **Peristaltic Pumps/Solenoid Valves:** Used for precise dosing of pH adjusters (acid/base solutions) and concentrated nutrient solutions into the main reservoir to maintain target pH and EC levels.
* **Water Pumps:** To circulate the prepared nutrient solution from the reservoir to the plants.
* **Drip Emitters/Irrigation Manifolds:** Precisely deliver measured quantities of the nutrient solution directly to the root zone of individual plants.
5. **Reservoir:** A container for storing the nutrient solution, acting as the central supply for the drip irrigation system.
6. **Software and Cloud Platform:**
* **Embedded Firmware:** Resides on the MCU, handling sensor interfaces, control logic, timing for irrigation cycles, and communication protocols.
* **Cloud-based Dashboard/Application:** Provides a user-friendly interface for remote monitoring, data visualization (graphs, historical trends), setting desired parameters, receiving alerts, and overriding automated controls from anywhere via a web browser or mobile application.
**Operational Principle:**
The system operates on a continuous, closed-loop feedback mechanism. Sensors regularly sample the nutrient solution (pH, EC, temperature) and potentially the growing environment. This data is transmitted to the microcontroller. The microcontroller compares these real-time values against user-defined or pre-programmed optimal ranges for the specific plant species and growth stage.
If a parameter deviates from its target (e.g., pH is too high, EC is too low), the microcontroller activates the appropriate actuators. For instance, it might trigger a peristaltic pump to inject a precise amount of pH-down solution until the target pH is restored. Similarly, nutrient pumps dispense concentrates if the EC falls below the set point. Simultaneously, based on pre-set irrigation schedules (e.g., timed cycles, volume-based delivery) or triggered by environmental factors, the main water pump activates, circulating the precisely balanced nutrient solution through the drip irrigation lines, delivering it directly to the plants' root systems through individual emitters.
All operational data, including sensor readings, actuator statuses, and system alerts, are periodically uploaded to the cloud platform, enabling growers to monitor the system remotely, analyze trends, and make informed adjustments.
**Benefits:**
* **Resource Efficiency:** Minimizes water and nutrient wastage through precise delivery, controlled dosing, and potential recirculation, leading to significant cost savings and environmental benefits.
* **Optimized Plant Growth:** Consistent maintenance of ideal growing parameters (pH, EC, temperature) promotes faster growth, improved plant health, reduced stress, and potentially higher yields and crop quality.
* **Reduced Labor Requirements:** Automates routine tasks like solution balancing and watering, freeing up human resources for other critical operations.
* **Remote Management and Accessibility:** Allows growers to monitor and control their hydroponic setups from any location with internet access, providing flexibility and rapid response capabilities.
* **Data-Driven Optimization:** Generates valuable historical data for analysis, facilitating a deeper understanding of plant needs and enabling continuous refinement of growing protocols.
* **Scalability:** Adaptable for various scales, from small-scale indoor cultivation and educational setups to large commercial vertical farms and greenhouses.
**Applications:**
This technology is particularly impactful in:
* **Controlled Environment Agriculture (CEA):** Including vertical farms, greenhouses, and indoor farming facilities where environmental parameters are precisely controlled.
* **Urban Agriculture:** Enabling efficient food production in limited spaces within cities.
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 :
An "IoT Hydroponic Plant Auto Control Water Drip Irrigation System" represents a sophisticated technological integration designed for the autonomous management of nutrient and water delivery in soil-less cultivation environments. This system leverages the principles of the Internet of Things (IoT) to monitor, control, and optimize the crucial parameters of hydroponic plant growth, specifically focusing on precise water and nutrient drip irrigation. Its primary objective is to enhance resource efficiency, improve plant health, and maximize yields through data-driven automation, minimizing manual intervention.
**Core Components and Architecture:**
The system is fundamentally composed of several interconnected elements that facilitate its automated operation:
1. **Sensors:** These are the data acquisition units, crucial for real-time monitoring of key environmental and solution parameters. Common sensors include:
* **pH Sensors:** To measure the acidity or alkalinity of the nutrient solution, critical for nutrient uptake.
* **Electrical Conductivity (EC) Sensors:** To quantify the concentration of dissolved nutrient salts in the solution.
* **Water Temperature Sensors:** To monitor the temperature of the nutrient solution, which affects oxygen solubility and plant metabolic rates.
* **Ambient Temperature and Humidity Sensors:** To monitor the growing environment, though less directly tied to drip irrigation control.
2. **Microcontroller/Microprocessor Unit (MCU/MPU):** Serving as the central processing unit, often a low-power embedded board (e.g., ESP32, Arduino, Raspberry Pi). It receives data from sensors, processes it according to programmed algorithms, compares it against predefined optimal thresholds, and generates control signals for actuators.
3. **Communication Module:** Enables the IoT aspect by facilitating data transmission. Typically, Wi-Fi, Bluetooth Low Energy (BLE), or cellular modules (e.g., GSM/LTE) are used to send sensor data and system status to a cloud-based platform or a local server.
4. **Actuators:** These are the electromechanical devices that execute physical actions based on signals from the microcontroller. Key actuators include:
* **Peristaltic Pumps/Solenoid Valves:** Used for precise dosing of pH adjusters (acid/base solutions) and concentrated nutrient solutions into the main reservoir to maintain target pH and EC levels.
* **Water Pumps:** To circulate the prepared nutrient solution from the reservoir to the plants.
* **Drip Emitters/Irrigation Manifolds:** Precisely deliver measured quantities of the nutrient solution directly to the root zone of individual plants.
5. **Reservoir:** A container for storing the nutrient solution, acting as the central supply for the drip irrigation system.
6. **Software and Cloud Platform:**
* **Embedded Firmware:** Resides on the MCU, handling sensor interfaces, control logic, timing for irrigation cycles, and communication protocols.
* **Cloud-based Dashboard/Application:** Provides a user-friendly interface for remote monitoring, data visualization (graphs, historical trends), setting desired parameters, receiving alerts, and overriding automated controls from anywhere via a web browser or mobile application.
**Operational Principle:**
The system operates on a continuous, closed-loop feedback mechanism. Sensors regularly sample the nutrient solution (pH, EC, temperature) and potentially the growing environment. This data is transmitted to the microcontroller. The microcontroller compares these real-time values against user-defined or pre-programmed optimal ranges for the specific plant species and growth stage.
If a parameter deviates from its target (e.g., pH is too high, EC is too low), the microcontroller activates the appropriate actuators. For instance, it might trigger a peristaltic pump to inject a precise amount of pH-down solution until the target pH is restored. Similarly, nutrient pumps dispense concentrates if the EC falls below the set point. Simultaneously, based on pre-set irrigation schedules (e.g., timed cycles, volume-based delivery) or triggered by environmental factors, the main water pump activates, circulating the precisely balanced nutrient solution through the drip irrigation lines, delivering it directly to the plants' root systems through individual emitters.
All operational data, including sensor readings, actuator statuses, and system alerts, are periodically uploaded to the cloud platform, enabling growers to monitor the system remotely, analyze trends, and make informed adjustments.
**Benefits:**
* **Resource Efficiency:** Minimizes water and nutrient wastage through precise delivery, controlled dosing, and potential recirculation, leading to significant cost savings and environmental benefits.
* **Optimized Plant Growth:** Consistent maintenance of ideal growing parameters (pH, EC, temperature) promotes faster growth, improved plant health, reduced stress, and potentially higher yields and crop quality.
* **Reduced Labor Requirements:** Automates routine tasks like solution balancing and watering, freeing up human resources for other critical operations.
* **Remote Management and Accessibility:** Allows growers to monitor and control their hydroponic setups from any location with internet access, providing flexibility and rapid response capabilities.
* **Data-Driven Optimization:** Generates valuable historical data for analysis, facilitating a deeper understanding of plant needs and enabling continuous refinement of growing protocols.
* **Scalability:** Adaptable for various scales, from small-scale indoor cultivation and educational setups to large commercial vertical farms and greenhouses.
**Applications:**
This technology is particularly impactful in:
* **Controlled Environment Agriculture (CEA):** Including vertical farms, greenhouses, and indoor farming facilities where environmental parameters are precisely controlled.
* **Urban Agriculture:** Enabling efficient food production in limited spaces within cities.
