Artificial Intelligence Approach for Tomato Detection and Mass Estimation in Precision Agriculture

Artificial Intelligence Approach for Tomato Detection and Mass Estimation in Precision Agriculture

Application of computer vision and robotics in agriculture requires sufficient knowledge and understanding of the physical properties of the object of interest. Yield monitoring is an example where these properties affect the quantified estimation of yield mass. In this study, we propose an image-pr...

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Bibliographic Details
Main Authors: Jaesu Lee, Haseeb Nazki, Jeonghyun Baek, Youngsin Hong, Meonghun Lee
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sustainability
Subjects:
artificial intelligence
convolutional neural network
fruit size estimation
image processing
precision agriculture
machine-learning
Online Access:https://www.mdpi.com/2071-1050/12/21/9138

Internet

https://www.mdpi.com/2071-1050/12/21/9138

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