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Dji Phantom 4 RTK Drone

4.0

Brand DJI
Material Carbon Fiber
Color White
Weight 1391 g
Camera Range FOV 84 degree ,8.8 mm / 24 mm(35 mm format equivalent:24 mm), f/2.8 – f/11
Usage/Application GS RTK
Sensor Type 1″ CMOS; Effective pixels: 20 M
Speed Max Ascent Speed6 m/s (automatic flight), 5 m/s (manual control); Max Descent Speed 3 m/s;31 mph (5
Obstacle Sensing Infrared: 0.6-23 ft(0.2 – 7 m); Vision System: 2-98 ft(0.7-30 m)
Camera Resolution 20 MP
Flight Time Approx. 30 mins
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Upgrade your next mapping mission with the Phantom 4 RTK – the most compact and accurate low altitude mapping solution.

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Sensors play a crucial role in making agricultural farming more sustainable. By providing real-time data and insights, sensors enable farmers to optimize resource management, enhance crop yields, and minimize environmental impact. Here are some ways in which sensors contribute to the sustainability of agricultural farming:

  1. Precision farming: Sensors enable precision agriculture practices by collecting data on soil moisture, temperature, nutrient levels, and other parameters. This data helps farmers make informed decisions regarding irrigation, fertilization, and pest control, reducing the excessive use of water, energy, and chemical inputs.

  2. Water management: Water scarcity is a significant concern in agriculture. Sensors can monitor soil moisture levels, weather conditions, and crop water requirements, allowing farmers to apply water precisely where and when it is needed. This helps conserve water resources and reduces the risk of over-irrigation or water wastage.

  3. Nutrient management: Sensors can measure nutrient levels in the soil and provide accurate information about plant nutrient requirements. This enables farmers to optimize fertilizer application, minimizing excess nutrient runoff into water bodies and preventing water pollution. Improved nutrient management also enhances soil health and reduces the need for synthetic fertilizers.

  4. Disease and pest monitoring: Sensors can detect early signs of plant diseases, pest infestations, or weed growth by analyzing various parameters such as temperature, humidity, and plant physiological responses. Timely detection allows farmers to take targeted actions, such as precise application of pesticides or adopting integrated pest management strategies, reducing the overall use of chemicals.

  5. Energy optimization: Sensors contribute to energy efficiency in agriculture by monitoring and controlling various farm operations. For example, they can optimize the use of irrigation pumps, ventilation systems, or machinery based on real-time data, reducing energy consumption and associated greenhouse gas emissions.

  6. Yield optimization: By continuously monitoring plant growth, sensors help farmers identify yield-limiting factors and adjust cultivation practices accordingly. This leads to improved crop productivity, reducing the need for expanding agricultural land and minimizing the environmental impact associated with land conversion.

  7. Data-driven decision making: Sensors generate vast amounts of data that can be analyzed to derive valuable insights and inform decision making. By leveraging data analytics and artificial intelligence, farmers can optimize farming practices, improve resource allocation, and reduce waste.

While sensors offer significant benefits, their sustainability also depends on factors such as their manufacturing process, energy requirements, and end-of-life disposal. It's important to consider the life cycle impacts of sensors and ensure responsible production and recycling practices.

Overall, by facilitating precise and data-driven farming practices, sensors contribute to the sustainable intensification of agricultural systems, improving resource efficiency, minimizing environmental impact, and supporting the goal of producing more food with fewer resources.

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