DESCRIPTION

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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
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• - 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

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More Information About 3D Model :
A Field Aeroponic Hydroponic Plant Farm, Cultivated via Solar Power and managed through the Internet of Things (IoT), represents an advanced paradigm in Controlled Environment Agriculture (CEA). This integrated system merges sophisticated soil-less cultivation techniques with renewable energy infrastructure and pervasive digital monitoring to maximize resource efficiency, yield density, and operational resilience, often deployed on large agricultural tracts or in regions unsuitable for traditional soil-based farming.

Cultivation Methodology: Hybrid Soil-less Systems


The core of the system relies on a hybrid combination of aeroponics and hydroponics, tailored to specific crop requirements.

Aeroponics: In aeroponic modules, plant roots are suspended in air and periodically misted with a fine spray of nutrient-rich water solution. This method significantly enhances root zone oxygenation (rhizosphere), promoting rapid growth and reducing water usage compared to conventional methods.

Hydroponics: Hydroponic subsystems, which may include techniques such as Deep Water Culture (DWC), Nutrient Film Technique (NFT), or Drip Irrigation, provide stability and buffering capacity for the overall nutrient solution. The entire system operates as a closed-loop Nutrient Delivery System (NDS), recycling drainage water to minimize water waste and allowing precise control over Electrical Conductivity (EC) and potential Hydrogen (pH) levels. This precision facilitates targeted crop nutrition, often exceeding the efficiency of traditional field fertilization.

The designation Field indicates that while the farm utilizes protected or semi-protected structures (e.g., greenhouses, hoop houses, or containerized systems) to mitigate extreme weather, the deployment scale is commensurate with traditional agricultural fields, demanding robust and scalable infrastructure.

Energy Infrastructure: Solar Power Integration


Sustainability and operational independence are primary objectives achieved through the integration of solar photovoltaic (PV) systems. The farm's entire energy demand—including pumps, climate control actuators, LED grow lights (if supplemental lighting is used), and the IoT sensory array—is predominantly supplied by solar energy.

The power configuration typically involves either a grid-tied system (offsetting utility consumption) or a stand-alone off-grid system utilizing substantial Battery Energy Storage Systems (BESS). This renewable energy source drastically reduces the carbon footprint associated with crop production and ensures continuous operation, critical for maintaining the precise environmental parameters required by aeroponic and hydroponic systems, particularly the constant function of NDS pumps.

Technological Integration: Internet of Things (IoT)


The operation and optimization of the farm are managed by a dense IoT network, transforming the farm into an intelligent, data-driven entity.

Sensory Arrays: A distributed network of sensors continuously monitors critical environmental and biological parameters. These include, but are not limited to:

  • Nutrient solution metrics (pH, EC, dissolved oxygen, temperature).
  • Climate metrics (air temperature, humidity, CO2 concentration, photosynthetic photon flux density (PPFD)).
  • Plant health indicators (e.g., spectral analysis for stress detection).

    Data Processing and Automation: Data collected by the sensory array is transmitted via secured gateways to a central cloud platform or edge computing infrastructure. Algorithms process this real-time telemetry data to trigger automated responses through actuators. Examples include:
  • Automatic dosing pumps adjusting nutrient concentrations.
  • Automated ventilation or cooling systems regulating temperature and humidity.
  • Scheduled activation of misting cycles in aeroponics.

    This automation capability minimizes human labor requirements, eliminates operational variability, and facilitates predictive analytics, allowing operators to preemptively address potential system failures or plant stressors, ensuring maximum cultivation stability and resource utilization efficiency. The integration allows for remote monitoring and adjustments, making the system highly adaptable to global deployment.

    KEYWORDS: Controlled Environment Agriculture, Aeroponics, Hydroponics, Solar Power, Internet of Things, CEA, Renewable Energy, Soil-less Culture, Crop Yield, Automation, Nutrient Delivery System, NDS, Precision Agriculture, BESS, Photovoltaic Systems, Sensors, EC/pH Control, Closed-Loop System, Water Efficiency, Field Deployment, Telemetry, Predictive Analytics, NFT, DWC, Smart Farming, Resource Optimization, Agricultural Technology, Sustainable Farming, Rhizosphere, Misting.

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FIELD AEROPONIC HYDROPONIC PLANT FARM CULTIVATE SOLAR POWER IOT 3D model

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File formats
STL
Stereolithography<br />File Size: 176 MB
OBJ
OBJ | 2 files<br />File Size: 334 MB
3DS
3D Studio<br />File Size: 117 MB
DWG
AutoCAD<br />File Size: 74.2 MB
IGE
IGES<br />File Size: 337 MB
MAX
Autodesk 3ds Max<br />File Size: 1010 MB
SAT
3D ACIS<br />File Size: 1.58 GB
DAE
Collada<br />File Size: 650 MB
STP
STEP<br />File Size: 213 MB
3DM
Rhinoceros 3D<br />File Size: 606 MB
FBX
Autodesk FBX<br />File Size: 107 MB
SKP
Sketchup<br />File Size: 136 MB
GLTF
glTF<br />File Size: 130 MB
BLEND
Blender<br />File Size: 316 MB
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3693824 polygons
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