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Submit Your RenderHydroponic Up IoT Smart Solar Energy PV Farm Plant Water NFT 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 08, 2025 |
| Download Size: | 514.4 MB |
| Game Ready: | – |
| Polygons: | 1,663,133 |
| Vertices: | 1,219,568 |
| 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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Hydroponic Up IoT Smart Solar Energy PV Farm Plant Water NFT 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 **Hydroponic IoT Smart Solar Energy PV Farm Plant Water Nutrient** system constitutes an advanced, integrated agricultural methodology that converges soilless cultivation techniques with cutting-edge digital technologies and renewable energy sources. This synergistic approach aims to establish highly efficient, sustainable, and precisely controlled environments for plant growth, optimizing resource utilization and maximizing yields across diverse agricultural settings.
At its core, the system utilizes **hydroponics**, a method of growing plants without soil by supplying essential mineral nutrient solutions directly to the root zone via water. This soilless cultivation paradigm offers numerous advantages, including reduced water consumption through recirculation, elimination of soil-borne pests and diseases, and accelerated growth rates. Various hydroponic techniques, such as Nutrient Film Technique (NFT), Deep Water Culture (DWC), aeroponics, and drip systems, can be implemented, each selected based on crop requirements and farm scale.
The "Smart" aspect of the farm is primarily realized through the integration of the **Internet of Things (IoT)**. This forms a sophisticated network of interconnected sensors, actuators, and control units. Sensors continuously monitor a comprehensive array of critical parameters, including the pH level and electrical conductivity (EC) of the nutrient solution (an indicator of nutrient concentration), water temperature, ambient air temperature, relative humidity, light intensity, and carbon dioxide (CO2) levels. The collected data is transmitted wirelessly to a central processing unit or cloud-based platform. Here, sophisticated algorithms, often incorporating machine learning, analyze the data in real-time, identifying deviations from optimal conditions, predicting plant needs, and generating predictive insights. Actuators, such as automated pumps, valves, fans, HVAC systems, and supplementary LED grow lights, are precisely controlled by the IoT system. This automated response ensures that plants receive optimal light, water, and nutrient dosages, minimizing human intervention, reducing labor costs, and leading to highly consistent and predictable agricultural outcomes.
Powering this technologically advanced operation is a **Solar Photovoltaic (PV) Energy** system. Arrays of solar panels convert sunlight directly into direct current (DC) electricity, which is then typically converted to alternating current (AC) to power all system components. This includes the hydroponic pumps, sensors, control units, environmental management systems (e.g., ventilation, heating/cooling), and artificial grow lights. Excess energy generated during peak sunlight hours can be stored in battery banks, ensuring uninterrupted operation during nighttime, cloudy periods, or grid outages, thereby enhancing energy independence and system resilience. The integration of renewable solar energy significantly reduces the operational carbon footprint of the farm, mitigates reliance on conventional energy grids, and lowers long-term energy costs, positioning the farm as an environmentally sustainable model.
The precise management of **Plant Water Nutrient** delivery is paramount to crop health and productivity. The IoT system meticulously controls the composition and delivery of the nutrient solution. Sensors continuously monitor the EC and pH of the circulating water. When these parameters deviate from pre-set optimal ranges for specific crops, the system automatically triggers dosing pumps to inject precise quantities of specific nutrient concentrates (macronutrients and micronutrients) or pH adjusters. Water levels within the hydroponic system are also monitored, with automated refilling mechanisms ensuring a consistent supply. This closed-loop system not only conserves significant volumes of water (up to 90% less than traditional field farming) but also prevents nutrient waste and minimizes environmental impact from agricultural runoff.
The synergy between hydroponics, IoT, and solar energy creates a highly efficient and sustainable agricultural paradigm. Key benefits encompass increased crop yields, faster growth cycles, reduced land footprint, year-round production independent of external climatic conditions, and minimized reliance on pesticides and herbicides. The remote monitoring and control capabilities of the IoT system facilitate efficient management of multiple farms or large-scale operations from centralized locations. While initial capital investment and technical expertise for setup and maintenance are considerations, ongoing advancements in sensor technology, renewable energy efficiency, and artificial intelligence are continually enhancing the accessibility, robustness, and cost-effectiveness of such integrated systems.
In conclusion, the Hydroponic IoT Smart Solar Energy PV Farm Plant Water Nutrient system exemplifies a cutting-edge approach to controlled environment agriculture. It harnesses the precision of soilless cultivation, the intelligence of IoT automation, and the sustainability of solar energy to cultivate crops with unparalleled efficiency, minimal environmental impact, and enhanced productivity, thereby contributing significantly to future food security and the development of resilient agricultural practices.
KEYWORDS: Hydroponics, IoT, Smart Farming, Solar Energy, Photovoltaic (PV), Controlled Environment Agriculture (CEA), Precision Agriculture, Sustainable Agriculture, Renewable Energy, Automation, Sensors, Actuators, Nutrient Management, Water Efficiency, Energy Efficiency, Vertical Farming, Soilless Cultivation, Crop Optimization, Data Analytics, Cloud Computing, Remote Monitoring, Environmental Control, pH Control, EC Monitoring, Resource Management, Closed-loop System, Energy Independence, Agritech, Food Security, Climate Resilience
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 **Hydroponic IoT Smart Solar Energy PV Farm Plant Water Nutrient** system constitutes an advanced, integrated agricultural methodology that converges soilless cultivation techniques with cutting-edge digital technologies and renewable energy sources. This synergistic approach aims to establish highly efficient, sustainable, and precisely controlled environments for plant growth, optimizing resource utilization and maximizing yields across diverse agricultural settings.
At its core, the system utilizes **hydroponics**, a method of growing plants without soil by supplying essential mineral nutrient solutions directly to the root zone via water. This soilless cultivation paradigm offers numerous advantages, including reduced water consumption through recirculation, elimination of soil-borne pests and diseases, and accelerated growth rates. Various hydroponic techniques, such as Nutrient Film Technique (NFT), Deep Water Culture (DWC), aeroponics, and drip systems, can be implemented, each selected based on crop requirements and farm scale.
The "Smart" aspect of the farm is primarily realized through the integration of the **Internet of Things (IoT)**. This forms a sophisticated network of interconnected sensors, actuators, and control units. Sensors continuously monitor a comprehensive array of critical parameters, including the pH level and electrical conductivity (EC) of the nutrient solution (an indicator of nutrient concentration), water temperature, ambient air temperature, relative humidity, light intensity, and carbon dioxide (CO2) levels. The collected data is transmitted wirelessly to a central processing unit or cloud-based platform. Here, sophisticated algorithms, often incorporating machine learning, analyze the data in real-time, identifying deviations from optimal conditions, predicting plant needs, and generating predictive insights. Actuators, such as automated pumps, valves, fans, HVAC systems, and supplementary LED grow lights, are precisely controlled by the IoT system. This automated response ensures that plants receive optimal light, water, and nutrient dosages, minimizing human intervention, reducing labor costs, and leading to highly consistent and predictable agricultural outcomes.
Powering this technologically advanced operation is a **Solar Photovoltaic (PV) Energy** system. Arrays of solar panels convert sunlight directly into direct current (DC) electricity, which is then typically converted to alternating current (AC) to power all system components. This includes the hydroponic pumps, sensors, control units, environmental management systems (e.g., ventilation, heating/cooling), and artificial grow lights. Excess energy generated during peak sunlight hours can be stored in battery banks, ensuring uninterrupted operation during nighttime, cloudy periods, or grid outages, thereby enhancing energy independence and system resilience. The integration of renewable solar energy significantly reduces the operational carbon footprint of the farm, mitigates reliance on conventional energy grids, and lowers long-term energy costs, positioning the farm as an environmentally sustainable model.
The precise management of **Plant Water Nutrient** delivery is paramount to crop health and productivity. The IoT system meticulously controls the composition and delivery of the nutrient solution. Sensors continuously monitor the EC and pH of the circulating water. When these parameters deviate from pre-set optimal ranges for specific crops, the system automatically triggers dosing pumps to inject precise quantities of specific nutrient concentrates (macronutrients and micronutrients) or pH adjusters. Water levels within the hydroponic system are also monitored, with automated refilling mechanisms ensuring a consistent supply. This closed-loop system not only conserves significant volumes of water (up to 90% less than traditional field farming) but also prevents nutrient waste and minimizes environmental impact from agricultural runoff.
The synergy between hydroponics, IoT, and solar energy creates a highly efficient and sustainable agricultural paradigm. Key benefits encompass increased crop yields, faster growth cycles, reduced land footprint, year-round production independent of external climatic conditions, and minimized reliance on pesticides and herbicides. The remote monitoring and control capabilities of the IoT system facilitate efficient management of multiple farms or large-scale operations from centralized locations. While initial capital investment and technical expertise for setup and maintenance are considerations, ongoing advancements in sensor technology, renewable energy efficiency, and artificial intelligence are continually enhancing the accessibility, robustness, and cost-effectiveness of such integrated systems.
In conclusion, the Hydroponic IoT Smart Solar Energy PV Farm Plant Water Nutrient system exemplifies a cutting-edge approach to controlled environment agriculture. It harnesses the precision of soilless cultivation, the intelligence of IoT automation, and the sustainability of solar energy to cultivate crops with unparalleled efficiency, minimal environmental impact, and enhanced productivity, thereby contributing significantly to future food security and the development of resilient agricultural practices.
KEYWORDS: Hydroponics, IoT, Smart Farming, Solar Energy, Photovoltaic (PV), Controlled Environment Agriculture (CEA), Precision Agriculture, Sustainable Agriculture, Renewable Energy, Automation, Sensors, Actuators, Nutrient Management, Water Efficiency, Energy Efficiency, Vertical Farming, Soilless Cultivation, Crop Optimization, Data Analytics, Cloud Computing, Remote Monitoring, Environmental Control, pH Control, EC Monitoring, Resource Management, Closed-loop System, Energy Independence, Agritech, Food Security, Climate Resilience
