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• - 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
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• - SAT (.sat) – ACIS solid model format (NURBS)
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• - 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
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More Information About 3D Model :
An IOT Smart Hydroponic Solar Cell Power Farm Plant Water Nutrient system represents an advanced agricultural paradigm that integrates Internet of Things (IoT) technology, soilless hydroponic cultivation, and renewable solar energy to optimize plant growth and resource utilization. This sophisticated framework aims to create highly efficient, sustainable, and automated plant production environments, minimizing reliance on traditional soil-based farming methods and conventional energy sources.

Core Components and Functionality:

  1. Hydroponic Cultivation: This system employs hydroponics, a method of growing plants without soil, using mineral nutrient solutions dissolved in water. Various techniques, such as Nutrient Film Technique (NFT), Deep Water Culture (DWC), or Drip Systems, may be utilized. The inherent advantages include significant water savings through recirculation, reduced land requirements, and precise control over nutrient delivery to the plant roots, fostering accelerated growth and higher yields compared to conventional farming.

  2. Internet of Things (IoT) and Smart Automation: The Smart aspect is primarily driven by IoT integration. A network of sensors continuously monitors critical environmental parameters affecting plant growth. These sensors typically measure:
  3. Water Parameters: pH (acidity/alkalinity), Electrical Conductivity (EC) or Total Dissolved Solids (TDS) for nutrient concentration, and water temperature.
  4. Environmental Factors: Air temperature, relative humidity, and light intensity (Photosynthetically Active Radiation - PAR).
  5. Plant-Specific Data: Advanced systems might incorporate spectral analysis or thermal imaging for plant health assessment.

    Data collected by these sensors is transmitted wirelessly to a central processing unit or cloud platform. This data is then analyzed, often leveraging machine learning algorithms, to make informed decisions. Actuators, such as automated pumps, solenoid valves, fans, and LED grow lights, are subsequently controlled remotely or autonomously to adjust conditions. For instance, nutrient solutions can be automatically dosed to maintain optimal pH and EC levels, irrigation cycles precisely managed, and climate controls activated to ensure ideal growing conditions without constant human intervention. Remote monitoring capabilities allow farmers to oversee and manage the farm from any location via smart devices.

  6. Solar Cell Power Integration: The entire system is powered, either fully or partially, by solar energy. Photovoltaic (PV) solar panels convert sunlight into electricity, which is then used to operate all electrical components, including pumps, sensors, controllers, lighting systems, and communication modules. A robust energy storage system, typically involving deep-cycle batteries, coupled with a charge controller and inverter, ensures continuous operation during periods of low sunlight or at night. This integration significantly reduces operational costs, enhances energy independence, and minimizes the carbon footprint of the agricultural operation, making it particularly suitable for remote areas or off-grid applications.

  7. Precision Water and Nutrient Management: The combination of hydroponics and IoT allows for unparalleled precision in delivering water and nutrients. Nutrient solutions are formulated to meet the specific needs of various plant species and growth stages. Sensors provide real-time feedback on nutrient uptake and solution degradation, enabling dynamic adjustments to maintain optimal concentrations. The closed-loop nature of hydroponics, combined with smart monitoring, minimizes water waste through evaporation and runoff, and prevents nutrient leaching into the environment.

    Advantages:

  8. Sustainability: Reduced water consumption (up to 90% less than traditional farming), minimal land use, and reliance on renewable energy.
  9. Increased Yield and Quality: Optimized growth conditions lead to faster growth, higher crop yields, and often superior product quality.
  10. Reduced Labor: Automation minimizes manual tasks associated with monitoring, watering, and nutrient application.
  11. Climate Independence: Enables year-round production in controlled environments, mitigating risks from adverse weather conditions, pests, and diseases.
  12. Localized Food Production: Facilitates urban farming and food production in areas unsuitable for conventional agriculture, reducing food miles.

    Applications:

    This technology is applicable in diverse settings, including urban vertical farms, rooftop gardens, remote community food initiatives, research facilities, and commercial greenhouses seeking to enhance efficiency and sustainability.

    Conclusion:

    The IOT Smart Hydroponic Solar Cell Power Farm Plant Water Nutrient system represents a significant advancement in Controlled Environment Agriculture (CEA). By synergistically combining advanced technologies, it offers a sustainable, efficient, and resilient solution to meet growing global food demands while minimizing environmental impact, marking a pivotal step towards the future of smart agriculture.

    KEYWORDS: IoT, Smart Farming, Hydroponics, Solar Power, Precision Agriculture, Sustainable Agriculture, Automated Systems, Remote Monitoring, Crop Cultivation, Soilless Culture, Nutrient Film Technique, Deep Water Culture, Environmental Control, Resource Efficiency, Water Management, Nutrient Management, Plant Growth Optimization, Renewable Energy, Off-grid Systems, Vertical Farming, Urban Farming, Sensors, Actuators, Data Analytics, Machine Learning, Closed-Loop System, Controlled Environment Agriculture, Food Security, Agricultural Technology, Sustainable Food Production

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IOT SMART HYDROPONIC SOLAR CELL POWER FARM PLANT WATER NUTRIENT 3D model

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File formats
STL
Stereolithography<br />File Size: 47.2 MB
OBJ
OBJ | 2 files<br />File Size: 98.2 MB
3DM
Rhinoceros 3D<br />File Size: 25.2 MB
3DS
3D Studio<br />File Size: 26.6 MB
DAE
Collada<br />File Size: 151 MB
FBX
Autodesk FBX<br />File Size: 32.5 MB
BLEND
Blender<br />File Size: 86.4 MB
GLTF
glTF<br />File Size: 26.3 MB
IGE
IGES<br />File Size: 20.3 MB
DWG
AutoCAD<br />File Size: 12.7 MB
STP
STEP<br />File Size: 10.4 MB
OTHER
Other<br />File Size: 10.4 MB
MAX
Autodesk 3ds Max<br />File Size: 149 MB
SAT
3D ACIS<br />File Size: 56 MB
SKP
Sketchup<br />File Size: 15.7 MB
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FBX
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989294 polygons
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/ 686191 vertices
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