A5052960178- Agriculture, Plant Science, Crop Management
- Mining and Industrial Processes
- Renewable energy and sustainable power systems
- Waste Management and Environmental Impact
- Agricultural economics and policies
- Anaerobic Digestion and Biogas Production
- Engine and Fuel Emissions
- Potato Plant Research
- Botany and Plant Ecology Studies
- Biofuel production and bioconversion
- Spectroscopy and Chemometric Analyses
- Crop Yield and Soil Fertility
- Geology and Environmental Impact Studies
- Integrated Water Resources Management
- Solar Radiation and Photovoltaics
- Photovoltaic System Optimization Techniques
- Municipal Solid Waste Management
- Agricultural Engineering and Mechanization
- Multi-Criteria Decision Making
- Soil Carbon and Nitrogen Dynamics
- Polish socio-economic development
- Advanced Chemical Sensor Technologies
- Food Supply Chain Traceability
- Sustainable Development and Environmental Management
- Agricultural Economics and Policy
University of Life Sciences in Poznań
2011-2020
University of Basrah
2019
Institute of Agricultural Machinery
2019
Institute of Agricultural Engineering
2016
This study is an elaboration on the conference article written by same authors, which presented results of laboratory tests biogas efficiency following substrates: maize silage (MS), pig manure (PM), potato waste (PW), and sugar beet pulp (SB). presents methane yields from substrates, but also a technical scale. Apart that, it original methodology defining Biochemical Methane Potential Correction Coefficient (BMPCC) based calculation biomass conversion industrial scale The BMPCC was...
The aim of the research was to investigate possibility using methods neural image analysis and modeling determine content dry weight compost based on photographs taken under mixed visible UV-A light conditions. lead conclusion that may be a useful tool in determining quantity matter compost. Generated model RBF 30:30-8-1:1 characterized by RMS error 0,076378 this networks is more effective than 19:19-2:1:1 which works
The aim of the study was create a new, non-invasive method assessing quality sugar beet topping using computer image analysis and artificial neural networks. In paper carried out methods used so far to assessment roots possibilities new proposed method. Classical allow an only after harvest (after pull roots), enables before harvesting beets. 50 images topped roots, which have been subjected in order improve contrast brightness. converted from color grayscale, segmentation morphological...
The classification properties of artificial neural networks, i.e. <i>Self-Organizing Feature Map </i>(SOFM), has been used for the qualitative identification five varieties potatoes popular in Poland. research was based on empirical data obtained form digital images potatoes, generated at various production phases. They serve to generate a "non-model" SOFM typology map that present centers example clusters. radial neurons constituting structure typological were given suitable labels...
Optimal nutrition of sugar beets at critical growth stages is one the crucial factors for achievement their highest yield potential. In present study, it was presumed that reduced systems beet cultivation had no effect on plants’ nutritional status stages, or technological quality. 2012-2013, two series one-factorial field experiments with different crop husbandry were carried out in order to verify this hypothesis. The crops differed postharvest technology, mulch types and seedbed tillage....
The manner of storage sugar beets largely influences their physical and chemical properties, which may subsequently determine biochemical methane potential. In this study, samples fresh as well stored in two ways—in airtight conditions an open-air container—were tested. both cases, measurements were taken on specific dates, i.e., after 4, 8, 16 32 weeks storage. A decrease pH was observed all samples, with the lowest occurring hermetically samples. value 3.71 obtained for container During...
Evaluating the impact of cultivation systems for improving management agricultural soil is difficult.Traditional ploughing can contribute to erosion.An alternative conventional tillage conservation tillage.The aim our study was determine influence different on biochemical and biological activity under sugar beets.The treatment with a depth 35 cm control (CT).For comparison, we analysed following consisting shallow or deep-soil ripping:1. Tillage sowing into stubble mulch (MS35).2. 15...
Modifications in soil cultivation affect the quality and quantity of yield sugar beets. The crop density, external beet roots are highly dependent on preparation soil. intensity precision fragmentation superficial layer adequate depth plantation must enable normal development aim study was to determine dependence between strip-tillage system used for production state after emergence crops as well quantity. research encompassed investigations different depths systems production. were...
The aim of the study was to evaluate usefulness sugar beet for biogas production, taking into account duration time storage and content in roots. research has included analysis methane yield beet. relations between roots length period course fermentation process were determined. Sugar beets with 17.6% 19.6% used this experiment. In order analyse process, fresh stored flexible, hermetic tanks 43 89 days used. Based on obtained results, it found that can differentiate production biomethane...
1. Ayag Z. 2007. A hybrid approach to machine-tool selection through AHP and simulation. International Journal of Production Research, 45/9, 2029–2050. Google Scholar
In the universal computerization era important aspect is possibility of man partial replacement in identification process disease cases occurring plantations cultivation. This very when it comes to early response and at a later stage for treatment help stop or its elimination, which has economic justification. Presented this paper system may be answer these issues production sugar beet
Industrial farms pose a serious threat to both people and the environment. The reason is that animal waste are produced in large quantities, which source of biogenic substances. Their irrational use, often common on industrial due limited area for fertilization, can lead eutrophication water tanks soils, even contamination with heavy metals disease-causing microorganisms pathogens. economy feces accompanied by greenhouse emission odors, resulting emissions volatile compounds also formation...