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Submit Your RenderSolar Panel Powered IoT Water NFT 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 19, 2025 |
| Download Size: | 279.2 MB |
| Game Ready: | – |
| Polygons: | 967,070 |
| Vertices: | 668,852 |
| Print Ready: | – |
| 3D Scan: | – |
| Textures: | – |
| Materials: | Yes |
| UV Mapped: | – |
| PBR: | – |
| Rigged: | – |
| Animated: | – |
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| Favorites: | 0 |
| Likes: | 0 |
| Views: | 2 |
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Solar Panel Powered IoT Water NFT 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 :
The **Solar Panel Powered IoT Water Nutrient Control Hydroponic Plant** is an advanced, integrated agricultural system designed for the autonomous and optimized cultivation of plants without traditional soil. This sophisticated setup synergistically combines hydroponic cultivation methods with renewable solar energy, Internet of Things (IoT) technology, and precise automated nutrient and water management, creating a highly efficient and sustainable platform for plant growth.
At its core, the system utilizes hydroponics, a soilless cultivation technique where plants are grown in a nutrient-rich aqueous solution. This method allows for the direct delivery of essential mineral nutrients to the plant roots, fostering accelerated growth rates, increased yields, and a significant reduction in water consumption compared to conventional agriculture. Common hydroponic methodologies such as Nutrient Film Technique (NFT), Deep Water Culture (DWC), or Drip Irrigation systems can be implemented within this framework.
The "Water Nutrient Control" functionality is paramount to the system's success. It involves the continuous, real-time monitoring and adjustment of critical parameters within the nutrient solution. Specialized sensors are embedded in the growing medium or nutrient reservoir to measure pH levels (acidity/alkalinity), electrical conductivity (EC) or total dissolved solids (TDS) – indicative of nutrient concentration – and water temperature. Data collected from these sensors is processed by a central control unit. Based on predefined optimal ranges tailored for specific plant species and growth stages, automated dosing pumps precisely inject pH-adjusting solutions (e.g., acid or base) or concentrated nutrient solutions into the reservoir. This ensures the plants consistently receive an ideal and stable nutritional environment, preventing deficiencies or toxicities and maximizing metabolic efficiency.
The integration of the "Internet of Things (IoT)" transforms the system from mere automation into an intelligent, data-driven agricultural unit. Microcontrollers or single-board computers act as the central brain, acquiring data from all environmental and solution sensors. This data is then transmitted wirelessly (e.g., via Wi-Fi, LoRa, or cellular networks) to a cloud-based platform or a local server. Through a dedicated web or mobile application, users can remotely monitor the system's status, visualize historical data trends, receive proactive alerts for anomalous conditions, and even remotely adjust or override automated controls from any internet-connected device. Advanced IoT implementations may incorporate machine learning algorithms to analyze growth patterns, predict future nutrient requirements, and adapt environmental parameters for enhanced predictive optimization and resource management.
Energy independence is a defining characteristic, achieved through the "Solar Panel Powered" component. Photovoltaic (PV) panels convert sunlight directly into electrical energy, which powers all active system components, including sensors, pumps, actuators, microcontrollers, and communication modules. An integrated energy storage system, typically comprising rechargeable batteries, ensures uninterrupted operation during periods of low sunlight, cloudy weather, or nighttime. This reliance on renewable energy makes the system environmentally sustainable, significantly reduces operational costs by eliminating dependence on grid electricity, and enables deployment in remote, off-grid locations, thereby expanding the potential for controlled environment agriculture.
The synergistic combination of these technologies yields numerous advantages:
* **Sustainability:** Drastically reduced water usage (up to 90% less than soil-based farming), no soil degradation, and reliance on clean, renewable energy.
* **Efficiency:** Optimized nutrient delivery minimizes waste and maximizes plant uptake, leading to higher yields in smaller footprints.
* **Automation & Remote Management:** Reduces manual labor, enables continuous monitoring, and allows for cultivation in geographically dispersed or challenging environments.
* **Data-Driven Optimization:** Real-time data and analytics facilitate precise adjustments and continuous improvement of growth protocols, leading to superior crop quality and yield.
* **Resilience:** Off-grid capability enhances food security and promotes localized food production, particularly in areas with limited infrastructure.
Key hardware components typically include solar panels, charge controllers, batteries, DC/AC inverters (if needed), nutrient reservoirs, various water pumps (for circulation and dosing), pH sensors, EC/TDS sensors, temperature sensors, water level sensors, microcontrollers (e.g., ESP32, Raspberry Pi), wireless communication modules, and the hydroponic growth structure itself.
Applications for such systems range from urban farming initiatives, vertical farms, and personal garden automation to scientific research, educational kits, and humanitarian projects in resource-scarce regions. This technology represents a significant step towards highly efficient, environmentally responsible, and accessible food production systems globally.
KEYWORDS: Hydroponics, IoT, Solar Power, Nutrient Control, Smart Farming, Precision Agriculture, Urban Farming, Vertical Farming, Renewable Energy, Sustainable Agriculture, Automation, Remote Monitoring, Data Analytics, Sensors, pH Control, EC/TDS, Water Management, Microcontroller, Cloud Platform, Off-Grid, Plant Growth Optimization, Resource Efficiency, Crop Yield, Environmental Control, Autonomous System, Remote Cultivation, Agritech, Internet of Plants, Food Security, Dosing Pumps
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 :
The **Solar Panel Powered IoT Water Nutrient Control Hydroponic Plant** is an advanced, integrated agricultural system designed for the autonomous and optimized cultivation of plants without traditional soil. This sophisticated setup synergistically combines hydroponic cultivation methods with renewable solar energy, Internet of Things (IoT) technology, and precise automated nutrient and water management, creating a highly efficient and sustainable platform for plant growth.
At its core, the system utilizes hydroponics, a soilless cultivation technique where plants are grown in a nutrient-rich aqueous solution. This method allows for the direct delivery of essential mineral nutrients to the plant roots, fostering accelerated growth rates, increased yields, and a significant reduction in water consumption compared to conventional agriculture. Common hydroponic methodologies such as Nutrient Film Technique (NFT), Deep Water Culture (DWC), or Drip Irrigation systems can be implemented within this framework.
The "Water Nutrient Control" functionality is paramount to the system's success. It involves the continuous, real-time monitoring and adjustment of critical parameters within the nutrient solution. Specialized sensors are embedded in the growing medium or nutrient reservoir to measure pH levels (acidity/alkalinity), electrical conductivity (EC) or total dissolved solids (TDS) – indicative of nutrient concentration – and water temperature. Data collected from these sensors is processed by a central control unit. Based on predefined optimal ranges tailored for specific plant species and growth stages, automated dosing pumps precisely inject pH-adjusting solutions (e.g., acid or base) or concentrated nutrient solutions into the reservoir. This ensures the plants consistently receive an ideal and stable nutritional environment, preventing deficiencies or toxicities and maximizing metabolic efficiency.
The integration of the "Internet of Things (IoT)" transforms the system from mere automation into an intelligent, data-driven agricultural unit. Microcontrollers or single-board computers act as the central brain, acquiring data from all environmental and solution sensors. This data is then transmitted wirelessly (e.g., via Wi-Fi, LoRa, or cellular networks) to a cloud-based platform or a local server. Through a dedicated web or mobile application, users can remotely monitor the system's status, visualize historical data trends, receive proactive alerts for anomalous conditions, and even remotely adjust or override automated controls from any internet-connected device. Advanced IoT implementations may incorporate machine learning algorithms to analyze growth patterns, predict future nutrient requirements, and adapt environmental parameters for enhanced predictive optimization and resource management.
Energy independence is a defining characteristic, achieved through the "Solar Panel Powered" component. Photovoltaic (PV) panels convert sunlight directly into electrical energy, which powers all active system components, including sensors, pumps, actuators, microcontrollers, and communication modules. An integrated energy storage system, typically comprising rechargeable batteries, ensures uninterrupted operation during periods of low sunlight, cloudy weather, or nighttime. This reliance on renewable energy makes the system environmentally sustainable, significantly reduces operational costs by eliminating dependence on grid electricity, and enables deployment in remote, off-grid locations, thereby expanding the potential for controlled environment agriculture.
The synergistic combination of these technologies yields numerous advantages:
* **Sustainability:** Drastically reduced water usage (up to 90% less than soil-based farming), no soil degradation, and reliance on clean, renewable energy.
* **Efficiency:** Optimized nutrient delivery minimizes waste and maximizes plant uptake, leading to higher yields in smaller footprints.
* **Automation & Remote Management:** Reduces manual labor, enables continuous monitoring, and allows for cultivation in geographically dispersed or challenging environments.
* **Data-Driven Optimization:** Real-time data and analytics facilitate precise adjustments and continuous improvement of growth protocols, leading to superior crop quality and yield.
* **Resilience:** Off-grid capability enhances food security and promotes localized food production, particularly in areas with limited infrastructure.
Key hardware components typically include solar panels, charge controllers, batteries, DC/AC inverters (if needed), nutrient reservoirs, various water pumps (for circulation and dosing), pH sensors, EC/TDS sensors, temperature sensors, water level sensors, microcontrollers (e.g., ESP32, Raspberry Pi), wireless communication modules, and the hydroponic growth structure itself.
Applications for such systems range from urban farming initiatives, vertical farms, and personal garden automation to scientific research, educational kits, and humanitarian projects in resource-scarce regions. This technology represents a significant step towards highly efficient, environmentally responsible, and accessible food production systems globally.
KEYWORDS: Hydroponics, IoT, Solar Power, Nutrient Control, Smart Farming, Precision Agriculture, Urban Farming, Vertical Farming, Renewable Energy, Sustainable Agriculture, Automation, Remote Monitoring, Data Analytics, Sensors, pH Control, EC/TDS, Water Management, Microcontroller, Cloud Platform, Off-Grid, Plant Growth Optimization, Resource Efficiency, Crop Yield, Environmental Control, Autonomous System, Remote Cultivation, Agritech, Internet of Plants, Food Security, Dosing Pumps
