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Multi-Dimensional Data Sensing in Agriculture by lilyangchang is a document available to read on EtoBox.

This document discusses the development of an integrated multi-dimensional technology framework for data sensing in smart agriculture, addressing the limitations of traditional methods. It proposes a new agricultural data sensing framework that incorporates various technologies, including machine learning and mobile robotics, to enhance the accuracy and efficiency of data collection. Additionally, a rapid identification strategy for inaccurate agricultural conditions is introduced, along with a prototype pl

Author
lilyangchang
Language
EN