• Ep 17 - Crop Yield Estimation and Prediction

  • 2024/11/21
  • 再生時間： 30 分
  • ポッドキャスト

Ep 17 - Crop Yield Estimation and Prediction

無料で聴く

ポッドキャストの詳細を見る

  • サマリー

  • 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


    続きを読む 一部表示

あらすじ・解説

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


続きを読む 一部表示

Ep 17 - Crop Yield Estimation and Predictionに寄せられたリスナーの声

カスタマーレビュー：以下のタブを選択することで、他のサイトのレビューをご覧になれます。

Audible.co.jp

Amazon.co.jp
レビューはまだありません。