Prediction of soil nitrogen content using E-nose and radial basis function
© 2018 IEEE Existing soil nutrient determining methods are still a concern as most of them entail arduous field sampling followed by rigorous testing procedures, both of which are time consuming and expensive. Conversely, farmers require cheap and instant information about the soil nutrient manageme...
Saved in:
Main Authors: | Jigme Norbu, Theerapat Pobkrut, Treenet Thepudom, Thinley Namgyel, Teerayut Chaiyasit, Yu Thazin, Teerakiat Kerdcharoen |
---|---|
Other Authors: | Mahidol University |
Format: | Conference or Workshop Item |
Published: |
2020
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/50656 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Mahidol University |
Similar Items
-
Development of malodor monitoring system based on electronic nose technology
by: Theerapat Pobkrut, et al.
Published: (2019) -
Soil sensing survey robots based on electronic nose
by: Theerapat Pobkrut, et al.
Published: (2018) -
Wireless Sensor Networks for Microclimate Monitoring in Edamame Farm
by: Jigme Norbu, et al.
Published: (2019) -
Effects of supplementary LED light on the growth of lettuce in a smart hydroponic system
by: Thinley Namgyel, et al.
Published: (2019) -
Prediction of Acidity Levels of Fresh Roasted Coffees Using E-nose and Artificial Neural Network
by: Yu Thazin, et al.
Published: (2019)