• Deep Dive - Everything Precision Agriculture

  • 著者: Peter and Ann
  • ポッドキャスト

Deep Dive - Everything Precision Agriculture

著者: Peter and Ann
  • サマリー

  • "Everything Precision Agriculture" is the podcast for anyone interested in the cutting-edge world of technology-driven farming. Each episode delves into the tools, innovations, and practices transforming agriculture, from satellite imaging and drones to data analysis and AI-powered crop management. We provide farmers, researchers, and enthusiasts with the knowledge to implement precision agriculture. Tune in to stay updated on sustainable practices and the future of farming, where technology meets the land for smarter, efficient agriculture.
    Peter and Ann
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あらすじ・解説

"Everything Precision Agriculture" is the podcast for anyone interested in the cutting-edge world of technology-driven farming. Each episode delves into the tools, innovations, and practices transforming agriculture, from satellite imaging and drones to data analysis and AI-powered crop management. We provide farmers, researchers, and enthusiasts with the knowledge to implement precision agriculture. Tune in to stay updated on sustainable practices and the future of farming, where technology meets the land for smarter, efficient agriculture.
Peter and Ann
エピソード
  • Ep 19 - DJI Agriculture
    2024/11/23

    DJI Agriculture is a division of DJI focused on providing precision agriculture solutions using drones. The company offers a range of products and services, including drones, software, and technical support. Its solutions aim to enhance productivity, efficiency, and sustainability in agriculture, enabling farmers to optimize resource use and maximize yields. The DJI Agriculture website provides information about its products, services, and initiatives, including case studies and relevant industry news. https://ag.dji.com/


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    5 分
  • Ep 18 - Digital Twins
    2024/11/22
    Cyber-Physical Systems (CPS) in agriculture highlight their application and potential for optimizing various agricultural operations, such as harvesting and transportation. CPS integrate physical and computational systems, enabling data exchange and remote process control, leading to greater efficiency and productivity. The architecture of CPS in agriculture involves different layers, such as the physical layer, which includes sensors and machines; the network layer, which connects devices; and the cloud layer, which processes and stores data. The text also discusses the challenges and benefits of using CPS in agriculture, along with examples of practical applications and advancements in artificial intelligence and robotics that can be leveraged to enhance agricultural systems.
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    24 分
  • Ep 17 - Crop Yield Estimation and Prediction
    2024/11/21

    Crop Yield Estimation and Prediction" describes remote sensing technologies and crop growth modeling to estimate and predict crop production. The document addresses the historical development of such technologies as well as emerging trends in the field. Remote sensing platforms, such as satellites, aircraft, and ground-based equipment, play a crucial role in collecting crop data, which can be used to feed crop growth models. The integration of data assimilation methods, such as the Kalman filter, is essential for combining remote sensing data with field information to enhance the accuracy of crop yield estimation and prediction. The text also highlights the challenges associated with using remote sensing technologies and crop growth modeling, such as uncertainties in weather and soil conditions and the potential for measurement errors


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    30 分

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