From Gas Sensors to Artificial Neural Networks: A New Precision Farming Approach for Crop Coefficient Determination

From Gas Sensors to Artificial Neural Networks: A New Precision Farming Approach for Crop Coefficient Determination

This study aims to utilize gaseous emissions from cultivation to predict the crop coefficient, an indirect measure of plant water stress. An array of chemiresistive gas sensors was used to collect the data, which were then processed by a simple artificial neural network algorithm. The results highli...

Full description

Saved in:
Bibliographic Details
Main Authors: Francesco Tralli, Barbara Fabbri, Matteo Valt, Alessandro Drago, Vincenzo Guidi
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Proceedings
Subjects:
crop coefficient
gas sensors
artificial neural network
water management
Online Access:https://www.mdpi.com/2504-3900/97/1/91
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2504-3900/97/1/91

Similar Items