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The theoretical yield of a reaction is the amount of product estimated to form based on the stoichiometry of the balanced chemical equation. The theoretical yield assumes the complete conversion of the limiting reactant into the desired product. The amount of product that is obtained by performing the reaction is called the actual yield, and it may be less than or (very rarely) equal to the theoretical yield.
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Cellular respiration produces 30 - 32 ATP per glucose molecule. Although most of the ATP results from oxidative phosphorylation and the electron transport chain (ETC), 4 ATP are gained beforehand (2 from glycolysis and 2 from the citric acid cycle).
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Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
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Thermal Measurement Techniques in Analytical Microfluidic Devices
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Yield Visualization Based on Farm Work Information Measured by Smart Devices.

Yoshiki Hashimoto1, Daisaku Arita2, Atsushi Shimada3

  • 1Faculty of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan. hashimoto@limu.ait.kyushu-u.ac.jp.

Sensors (Basel, Switzerland)
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Summary

This study visualizes tomato greenhouse plant status using farm laborer data. The developed harvesting map accurately shows yield distribution, aiding farm management.

Keywords:
action recognitionbluetooth beaconfarm work informationmotion sensorposition estimation

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Area of Science:

  • Agricultural Technology
  • Precision Agriculture
  • Horticulture

Background:

  • Understanding spatial variation in crop yield is crucial for optimizing greenhouse management.
  • Traditional methods for monitoring plant status and yield can be labor-intensive and lack spatial detail.

Purpose of the Study:

  • To develop a novel method for visualizing spatial variations in plant status within a tomato greenhouse.
  • To leverage farm laborer activity data for creating detailed yield distribution maps.

Main Methods:

  • Estimating farm laborer position using smartphone radio wave strength and Bluetooth beacons.
  • Recognizing farm laborer actions through smartwatch motion data.
  • Visualizing spatial yield distribution as a 'harvesting map' based on collected data.

Main Results:

  • The system successfully visualized the spatial distribution of tomato yields.
  • The mean absolute error in harvested tomato counts per section was 0.35.
  • Farm managers found the harvesting map intuitive for understanding greenhouse conditions.

Conclusions:

  • The proposed approach effectively visualizes spatial yield variations in greenhouses.
  • Farm work information, when analyzed, provides valuable insights for agricultural management.
  • This technology offers a practical tool for enhancing greenhouse operational efficiency and yield monitoring.