Articles
RELATIONS BETWEEN OPTICAL PROPERTIES AND N STATUS OF TOMATO LEAVES
Article number
852_30
Pages
247 – 252
Language
English
Abstract
An efficient use of N fertilizers in intensive vegetable production systems is one of the most important keys to reduce harmful side effects on the environment and to produce yield with high quality in a competitive market.
Due to the fact that the N level in the soil and in the plant can vary highly during cropping period and within a field area, the measurement of the current and site-specific N status of plants can be a rewarding effort for the cultivator.
Nevertheless, sensor based systems to detect the N status in real time have been scarcely implemented for horticultural purposes.
This study was conducted with the objective to evaluate the use of a non-invasive sensor technology using spectral feedback signals from tomato leaves.
The results indicate that it is possible to infer the N status of tomato crops using optical sensor technologies.
Accordingly, the study showed that corresponding to N fertilization the use of optical sensors can supply data to specify the N input to an accurate level.
Due to the fact that the N level in the soil and in the plant can vary highly during cropping period and within a field area, the measurement of the current and site-specific N status of plants can be a rewarding effort for the cultivator.
Nevertheless, sensor based systems to detect the N status in real time have been scarcely implemented for horticultural purposes.
This study was conducted with the objective to evaluate the use of a non-invasive sensor technology using spectral feedback signals from tomato leaves.
The results indicate that it is possible to infer the N status of tomato crops using optical sensor technologies.
Accordingly, the study showed that corresponding to N fertilization the use of optical sensors can supply data to specify the N input to an accurate level.
Publication
Authors
M. Gauder, J. Pfenning, H.-P. Liebig, S. Graeff, W. Claupein
Keywords
remote sensing, reflectance, site-specific nutrition, N deficiency, yield
Online Articles (42)
