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Included File Formats
This model is provided in 14 widely supported formats, ensuring maximum compatibility:
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• - 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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• - 3ds Max (.max) – Provided for 3ds Max users
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• - Rhino (.3dm) – Provided for Rhino users
Model Info
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• - Geometry uses real-world scale; model resolution varies depending on the product (high or low poly)
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• - Rendered using Luxion KeyShot
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More Information About 3D Model :
The system titled NFT FIELD AEROPONIC HYDROPONIC CROP PLANT FARM SOLAR POWERED IOT represents a highly advanced and integrated paradigm within Controlled Environment Agriculture (CEA). This operational model combines multiple high-efficiency soilless cultivation techniques (hydroponics, Nutrient Film Technique, and aeroponics) with renewable energy sourcing and sophisticated data-driven automation facilitated by the Internet of Things (IoT). The resulting infrastructure is designed for maximized crop yield density, optimized resource utilization, and enhanced operational independence, typically scalable to commercial field operations housed within greenhouses or vertical farms.
Cultivation Methodology
The facility employs a hybrid approach leveraging core soilless techniques:
- Hydroponics (General Terminology): The foundation of the system involves circulating nutrient-rich aqueous solutions directly to the root structures, eliminating the need for traditional soil substrates.
- Nutrient Film Technique (NFT): A prevalent methodology utilized, characterized by the establishment of plants within channels where a very shallow stream (film) of nutrient solution flows continually. This technique ensures high water efficiency and provides adequate oxygenation to the roots while facilitating ease of setup and harvesting.
- Aeroponics: Often employed for specific high-value crops requiring maximal root oxygenation, aeroponics suspends plant roots in air, misting them periodically with a finely atomized nutrient solution. Aeroponic systems exhibit the highest level of water efficiency within CEA, typically reducing water consumption by 90% or more compared to conventional agriculture.
The designation of FIELD implies a large-scale commercial application where these technologies are deployed across significant cultivation area, focusing on high volume production of crop plants (e.g., leafy greens, herbs, specific fruits).
### Solar Power Integration
The system is fundamentally designed for energy self-sufficiency and reduced operational expenditures through the integration of solar photovoltaic (PV) technology. The solar array serves as the primary power source for all system requirements, including:
- Pumping Systems: Energy required for circulating nutrient solutions in NFT and hydroponic systems, as well as high-pressure misting pumps for aeroponics.
- Climate Control: Powering heating, ventilation, air conditioning (HVAC) systems, and supplemental LED lighting necessary to maintain optimal environmental conditions within the cultivation structure.
- IoT Infrastructure: Providing consistent, reliable power for sensor arrays, data processing units, communication modules, and automated actuators.
The reliance on solar power significantly lowers the carbon footprint of the facility, positioning it as a sustainable solution that mitigates dependence on conventional electrical grids. Energy storage solutions (batteries) are typically integrated to ensure uninterrupted operation during nocturnal periods or inclement weather.
### Internet of Things (IoT) Automation
IoT technology forms the nervous system of the farm, enabling precision agriculture through real-time monitoring and automated environmental management. The infrastructure comprises a distributed network of sensors, connectivity modules, and centralized control platforms:
- Environmental Sensing: Sensors continuously monitor critical parameters, including nutrient solution pH and Electrical Conductivity (EC), dissolved oxygen levels, root zone and ambient temperature, relative humidity, and light intensity (PAR).
- Data Aggregation and Cloud Computing: Data collected from these sensors is transmitted via wireless protocols (e.g., Wi-Fi, LoRaWAN) to a centralized hub or cloud platform. Algorithms process this data to identify deviations from optimal crop-specific parameters.
- Automated Actuation: Based on the analyzed data, the IoT system triggers automated responses through actuators. Examples include adjusting dosing pumps for pH and nutrient concentration, activating irrigation cycles, opening or closing ventilation fans, or modulating supplemental LED lighting schedules.
- Remote Management and Machine Learning: Farmers or operators can monitor and control the entire system remotely via dashboards or mobile applications. Furthermore, the integration of machine learning allows the system to learn from historical performance data, predict crop needs, and autonomously refine environmental setpoints to further maximize yield efficiency and resource conservation.
This sophisticated technological convergence results in a highly optimized, resource-independent, and scalable agricultural platform capable of reliable food production in diverse climatic zones.
KEYWORDS: Controlled Environment Agriculture, Hydroponics, Aeroponics, NFT, Precision Agriculture, Solar Power, Photovoltaics, IoT, Sensor Networks, Automation, Crop Yield Optimization, Resource Efficiency, Sustainable Farming, Climate Resilience, Vertical Farming, Nutrient Management, EC Monitoring, pH Control, Renewable Energy, Greenhouse Technology, Data Analytics, Remote Monitoring, CEA Infrastructure, Soilless Cultivation, Water Conservation, Crop Production, Energy Autonomy, Actuators, Machine Learning, Digital Farming.
