A5062952325- Soil Mechanics and Vehicle Dynamics
- Smart Agriculture and AI
- Agricultural Engineering and Mechanization
- Soil Management and Crop Yield
- Greenhouse Technology and Climate Control
- Remote Sensing and LiDAR Applications
- Plant Surface Properties and Treatments
- Plant nutrient uptake and metabolism
- Crop Yield and Soil Fertility
- Remote Sensing in Agriculture
- Magnetic and Electromagnetic Effects
- Tree Root and Stability Studies
- Irrigation Practices and Water Management
- Food Supply Chain Traceability
- Insect behavior and control techniques
- Geographic Information Systems Studies
- Modular Robots and Swarm Intelligence
- Digital Transformation in Industry
- Railway Engineering and Dynamics
- Geotechnical Engineering and Underground Structures
- 3D Surveying and Cultural Heritage
- Horticultural and Viticultural Research
- Wastewater Treatment and Nitrogen Removal
- Potato Plant Research
- Flexible and Reconfigurable Manufacturing Systems
University of Hohenheim
2017-2023
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers
2023
Hochschule Geisenheim University
2023
Institute of Agricultural Engineering
2021
Nitrogen (N) excess due to mineral fertilization in conventional crop farming has a significant negative impact on the environment. Variable rate N application (VRNA) is promising tool increase recovery rates spatially heterogeneous fields. Real-time sensor systems for VRNA usually consider only crop's status and their algorithms are abundantly deterministic. Due education professional experience, farmers have considerable knowledge base that should be used describe dynamic non-deterministic...
Real-time sensor systems for variable rate nitrogen (N) application (VRNA) are an established technology nowadays but they have some shortcomings in terms of their capability to consider multiple parameters relevant plant growth. Further, the abundantly lacking section control centrifugal spreaders limits accuracy a sensor-based VRNA, especially combination with temporal and spatial offsets between sensing fertilizer placement. Fuzzy inference were incorporated into real-time numerically...
Crop nitrogen (N) demand is defined by various physiological, management and environmental factors that interact with each other involve temporal spatial dynamics. Variable rate N application (VRNA) intends to address this but the underlying algorithms often remain rather rigid deterministic, are partly subject high uncertainties largely leave agronomic expert's knowledge experience unnoticed. A novel generic system architecture was conceptualized overcome these limitations respond...
Increased labor scarcity and input costs, as well the demand for ecologically more sound control of growing conditions while maintaining yield quality in both viticulture horticulture have proliferated requirements current technologies such implements autonomous vehicles used these domains. The increasing employment technology, however, brings up issue compatibility, terms data exchange, connectivity, communication between used. Besides that, conducting connection a standardized means adds...
Optimizing the dynamic responses of a slab track system is key aspect to improve quality railway structure. In this paper, numerical modelling and simulation vertical dynamics structure engaging asphalt concrete in substructures were carried out. Thus, 3D finite element (FE) model was developed. The developed validated by comparing its outputs, that is, acceleration with measured ones from realistic experimental data. good agreement between simulated data which resulted validation confirmed...
Remote sensing data in agriculture that are originating from unmanned aerial vehicles (UAV)-mounted multispectral cameras offer substantial information assessing crop status, as well developing prescription maps for site-specific variable rate applications. The position accuracy of the imagery plays an important role quality final and how latter correspond to specific spatial characteristics. Although software products developed algorithms offering corrections, they time- cost-intensive....
Agriculture is facing many challenges that are related to increased prices of farming inputs, labor shortage, and climate change. Advanced machines autonomous vehicles as well sensor systems with capabilities now present on the farm can offer solutions these but issue remains how connect components involved in forming an integrated digital system. At same time, ISO 11783 (commonly designated ISOBUS) playing a substantial role increasing number ISOBUS-compliant be seen among machinery. Under...
Variability in soil conditions has a significant influence on the performance of no-till seeder terms an inconsistency depth seeding. This occurs due to inappropriate dynamic responses coulter variable conditions. In this work, dynamics assembly, designed with magnetorheological (MR) damping system, were simulated, vertical movement and ground impact. The developed model used measured inputs from previously performed experiments, i.e., surface profiles forces. Subsequently, actual was...
Some researchers expect that future agriculture will be automated by swarms of small machines. However, and light robots have some disadvantages. They problems generating interaction forces high enough to modify the environment (lift a stone, cultivate soil, or transport loads). Additionally, they limited range terrain mobility. One option change this paradigm is use spikes instead wheels, which enter soil create traction. This allows with process not weight vehicle. We designed prototype...
In the site-specific fertilization based on a variable rate prescription, application accuracy and distribution of spreader are key points when it comes to applying fertilizer with centrifugal disk spreaders. The error occurs mainly due inaccurate position, delayed response changes width errors across management zones. This study aims evaluate occurring at zone boundaries spreader. Towards this aim, was performed using task data that included spatial field file in ISO XML format recorded...
Increasing environmental concerns are a driving force in the search for ways to improve efficiency of mineral nitrogen (N) fertilization. Spectral sensors determine crop's supply status among most mature precision agriculture technologies adapt N dose site-specifically need. By using artificial intelligence techniques like expert systems based on fuzzy set theory, algorithms such sensor could be adapted by farmer highly varying conditions specific fertilization dates. This paper is dealing...