Search
Search Results
-
New evaluation method to detect physiological stress in fruit trees by airborne hyperspectral image spectroscopy
37-40.Views:485Nowadays 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.
-
Evaluation of precision farming with regard to horticulture
105-110.Views:256The global positioning system was made available for public use, which made it possible' to apply a new management tool in agriculture. Precision farming gives much more information on plant-growing than former methods, which makes it possible to use technologies more suitable for micro-sites. It is supposed that more profitable production can be realised with its aid and the strain on the environment can be reduced, not to mention other economic advantages.
The study makes economic conclusions about the method more and more widely used in plant production taking the yield mapping of Józsefmajor Experimental Farm as a basis and starts ideas about its possible application in arable land olericulture, viticulture and fruit production.
These issues are important because precision farming has existed in glass-culture for a long time from another perspective, which should be spread to open ground horticultural enterprises that are labour and asset intensive, qualitative farming forms with great plantation value.
-
Phytobiome management in horticultural systems: beyond the rhizosphere toward whole-plant microbiome optimization
85-101.Views:144The plant microbiome is not confined to the soil. Across every anatomical compartment, the rhizosphere, phyllosphere, endosphere, anthosphere, spermosphere, and carposphere, structurally distinct and functionally specialized microbial communities orchestrate processes fundamental to plant health, productivity, and resilience. Yet horticultural science has remained disproportionately anchored to the rhizosphere, leaving the vast microbial landscape inhabiting aerial, floral, seed, and fruit tissues largely unexplored and unmanaged. This blind spot carries profound consequences at a time when global horticultural production confronts an unprecedented convergence of pressures: accelerating climate instability, stringent restrictions on synthetic agrochemicals, mounting soil degradation, and escalating consumer demand for sustainably produced, chemical-free, premium-quality produce. The biological potential embedded within the whole-plant phytobiome to address these intersecting crises remains critically underutilized. A fundamental barrier to progress is the absence of a unifying scientific framework. Existing reviews address plant-associated microbiomes in disciplinary silos, focusing narrowly on rhizosphere bacteria, individual crop species, or single microbial kingdoms, without synthesizing the full cross-compartment, cross-kingdom phytobiome in the horticultural context. No comprehensive framework has yet integrated microbial community dynamics spanning bacteria, fungi, archaea, and viruses across fruit, vegetable, and ornamental crops within a single, coherent, and practically applicable model. This review addresses that gap directly. Through critical synthesis of compartment-resolved phytobiome research across major horticultural systems, we characterize the taxonomic composition, ecological assembly drivers, and agronomic functional roles of microbial communities inhabiting each plant compartment. We demonstrate that phyllosphere microbiomes confer photoprotection and pathogen exclusion; endophytic communities directly modulate secondary metabolite profiles and systemic immunity; anthosphere microbiomes influence pollinator attraction and fruit set; spermosphere communities determine seedling establishment success through vertical microbial inheritance; and carposphere microbiomes govern post-harvest storability and food safety outcomes. We further establish how host genotype, crop developmental stage, management-induced dysbiosis, and climate-driven perturbations collectively shape phytobiome assembly and functional integrity across compartments. Building on this synthesis, proposing to introduce the Whole-Plant Phytobiome Optimization (WPPO) framework, the first integrative, three-tier conceptual model designed specifically for horticultural systems. WPPO encompasses whole-plant phytobiome profiling using multi-omics platforms, identification of functional microbial modules linked to target agronomic traits, and precision compartment-targeted intervention through synthetic microbial communities (SynComs), encapsulated biostimulants, and digitally guided delivery systems integrated with IoT sensor networks and machine learning decision-support tools. Applied across the full crop life cycle, from spermosphere conditioning at seed priming to carposphere biopreservation at post-harvest, WPPO offers a scalable, evidence-based, and technologically integrated roadmap toward substantially reduced agrochemical dependence, enhanced crop resilience, superior produce quality, and the deployment of ecologically precise next-generation biocontrol and biostimulant strategies.
-
Illumination-Independent Reflectance Information Acquirement for Leaf Water Potential Measurement on the Example of Satsuma Mandarin
75-79.Views:235Mandarin fruit sugar content can be increased when subjecting the satsuma mandarin tree (Citrus unshiu MARC. var. satsuma) to moderate water stress by mulching during the period of active sugar accumulation, thereby fruit quality improvement can be realized. In the frame of the precision agriculture production system, a non-destructive measuring method development became necessary based on remote sensing, field spectroscopy and image analysis, to be able to measure the degree of water stress. Large amount of visual information have been recorded at ground level, in near infrared, red and green channels by a false color digital camcorder designed specially for remote sensing applications. A method have been found to be able to calculate the absolute reflection of mandarin leaf surface by comparing leaf reflectance with known reference target reflectance, thereby established the basis of further studies in this topic. Leaf absolute reflection can be measured reliably, under variable natural illumination at field conditions. Functional correlation can be searched between visual information and leaf water potential measured by PMS pressure chamber.
-
Integration of terrestrial laser scanning and spectral canopy scanner in horticulture applications
15-18.Views:1282One of the most difficult challenge in the everyday practice to describe the canopy growing of fruit trees in an orchard. The photosynthetic activity is the basic of the primer production of plants. The measurement of leaf area and determination of the photosynthetic activity could be occurred with some elaborated methods between experimental conditions. In this article we present such an integrated methodology, which is ideal to determine the geometric and spectral characteristic of fruit trees between field conditions.We have carried out laser scanning technology to investigate the geometric-topological characteristics and parallel the active infra-red sensor to collect spectral data about an apple orchard. The surveys were worked out in an intensive apple orchard with drip irrigation system, protected by hail net in Study and Regional Research Farm of the University of Debrecen near Pallag. This study shows the filtering and interpretation methods of created data. The produced high accuracy data can be directly used in the precision horticulture. It could serve as a guiding data to implementation a future “virtual horticulture”. Higher spatial and temporal resolution could help for a better recognition of water balance of orchards.
