Nowadays airborne remote sensing data are increasingly used in precision agriculture. The fast space-time dependent localization of stresses in orchards, which allows for a more efficient application of horticultural technologies, could lead to improved sustainable precise management. The disadvantage of the near field multi and hyper spectroscopy is the spot sample taking, which can apply independently only for experimental survey in plantations. The traditional satellite images is optionally suitable for precision investigation because of the low spectral and ground resolution on field condition. The presented airborne hyperspectral image spectroscopy reduces above mentioned disadvantages and at the same time provides newer analyzing possibility to the user. In this paper we demonstrate the conditions of data base collection and some informative examination possibility. The estimating of the board band vegetation indices calculated from reflectance is well known in practice of the biomass stress examinations. In this method the N-dimension spectral data cube enables to calculate numerous special narrow band indexes and to evaluate maps. This paper aims at investigating the applied hyperspectral analysis for fruit tree stress detection. In our study, hyperspectral data were collected by an AISADUAL hyperspectral image spectroscopy system, with high (0,5-1,5 m) ground resolution. The research focused on determining of leaves condition in different fruit plantations in the peach orchard near Siófok. Moreover the spectral reflectance analyses could provide more information about plant condition due to changes in the absorption of incident light in the visible and near infrared range of the spectrum.
The study was conducted to compare historical plums, gene collections, and is currently cultivated and recent perspective varieties from the author. The object of the study was the relative ecological Borhidi’s figures and classification of varieties under the new definition, as the relative biological values. There were 11 figures no one in particular affect the data of the plums grown in importance as TB, WB, RB, LB, and the values are relative biological value (OP, FR, SS, and DR). The specificity of each indicator was different, but in general the importance and specific breeds was associated with. The SB (salt figures) is not proved informative, partly because small data in the literature, on the other hand, had little to their own observations as well. The gene bank of Cegléd is now third-generation (1951–1972, 1973–1991, since 1992) kind of collection, during which many aspects have changed climatic conditions: cold winter eased the strictness, but has increased the threat
of spring frost advection. The relative biological scores markedly influenced around flowering extreme weather (dry, windy weather and so flowering in within 2-3 days), optimal conditions of the plum pox virus vectors and of course the presence of fruit and foliage harmful fungi. It see to be, in the case of semi-wild and wild fruit species – are possible with similar comparative analyzes, and hopefully will in feral forms, culture – as we have seen previously (Surányi 2000 and 2006). In the continuation analysis of the natural vegetation and cultural context of the complex multifactorial factors will be carried out more easily, according to the relative value figures, as well as rootstock effects and plantation’s habitat studies, and even the most phytotechnical evaluation of interventions.
The aim of our study was to investigate the relationship between micronutrient content of soil and leaf in an organic apple orchard. The experiment was carried out at the Experimental Site of the University of Debrecen, Centre of Agricultural Sciences at Pallag in an apple cultivar collection in Eastern Hungary in 2002-2004. The soil sampling was carried out twice per year, at the beginning and the end of the vegetation period in 2002, 2003 and 2004, respectively. The micronutrient content of leaf of seven apple cultivars (Jonagold, Mutsu, Idared, Red Elstar, Egri piros, Reka, Remo) was studied according to phenological phases of apple (April — September) to investigate the dynamism of plant nutrient uptake.
It was found that results of leaf analysis correlated with the obtained results of soil. According to the data of July, manganese and copper content of leaf is in the 'favourable' but zinc is the 'low' range of nutrient supply category. Moreover, there were significant differences in the micronutrient content of leaf among cultivars. From our results it is evident that more reliable data were obtained for fruit nutrition by determining of micronutrient content of soil and plant and calculate their ratios as well.