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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)
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• - Blender (.blend) – Provided for Blender users
• - SketchUp (.skp) – Compatible with all SketchUp versions
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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 :
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

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HYDROPONIC IOT SMART SOLAR ENERGY PV FARM PLANT WATER NUTRIENT 3D model

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File formats
STL
Stereolithography<br />File Size: 79.3 MB
OBJ
OBJ | 2 files<br />File Size: 168 MB
DAE
Collada<br />File Size: 259 MB
IGE
IGES<br />File Size: 124 MB
DWG
AutoCAD<br />File Size: 38.5 MB
3DS
3D Studio<br />File Size: 45.9 MB
GLTF
glTF<br />File Size: 46.8 MB
FBX
Autodesk FBX<br />File Size: 52.8 MB
SAT
3D ACIS<br />File Size: 149 MB
3DM
Rhinoceros 3D<br />File Size: 146 MB
BLEND
Blender<br />File Size: 144 MB
MAX
Autodesk 3ds Max<br />File Size: 299 MB
SKP
Sketchup<br />File Size: 52.3 MB
STP
STEP<br />File Size: 76.4 MB
OTHER
Other<br />File Size: 76.4 MB
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FBX
This FBX file has successfully passed the CGT Standard technical and visual checks. The verification results are detailed in the section below.
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1663133 polygons
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/ 1219568 vertices
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