Improving Nitrogen Status Estimation in Malting Barley Based on Hyperspectral Reflectance and Artificial Neural Networks

Improving Nitrogen Status Estimation in Malting Barley Based on Hyperspectral Reflectance and Artificial Neural Networks

Malting barley requires sensitive methods for N status estimation during the vegetation period, as inadequate N nutrition can significantly limit yield formation, while overfertilization often leads to an increase in grain protein content above the limit for malting barley and also to excessive lodg...

Full description

Bibliographic Details
Main Authors: Karel Klem, Jan Křen, Ján Šimor, Daniel Kováč, Petr Holub, Petr Míša, Ilona Svobodová, Vojtěch Lukas, Petr Lukeš, Hana Findurová, Otmar Urban
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Agronomy
Subjects:
artificial neural network
grain yield
<i>Hordeum vulgare</i>
nitrogen status
hyperspectral reflectance
Online Access:https://www.mdpi.com/2073-4395/11/12/2592

Similar Items

Similar Items