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| Filter results7 paper(s) found. |
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1. Spatial Interpolation for Mapping Hydraulic Soil Properties in GIS EnvironmentSoil water information is an essential input for environmental, hydrological or land surface models. There is a need for reliable soil water information with current coverage in the area. A number of 60 soil profiles data were evaluated for the performance of estimates inverse distance weighting to map some of the soil quality properties. soil profiles were used for the application of geostatistics. Maps with the investigated coverage were produced with the soil information available about soil... M.A. Abdelrahman, A.M. Saleh, M.M. El sharkawy, E. Farg, S.M. Arafat |
2. Preparation of a precision ripping plan using manual vertical penetrometer measurementsLarge weight power engines and tools used in agriculture significantly contribute to the formation of compacted and thickening layers starting from the soil surface. There are suitable deep ripping technologies to eliminate harmful soil compaction, which are extremely energy and cost demanding. In precision agriculture, it is possible to treat spatially delimited unfavourable soil patches. The bulk density (g/cm3) of the soil was calculated from the soil resistance and moisture content... T. Rátonyi, P. Ragán, A. Széles, P. Fejér, E. Harsányi, I. Bácskai |
3. A cheap alternative to data management and creating of yield maps of small-plot field experimentsLong-term field trials provide an opportunity to examine the long-term effects of crop production factors and the effect of different crop years can also be analysed. In the long-term field trial, spatial representation of the data belonging to each plot might be necessary for the purpose of soil heterogeneity analysis, working hypothesis, or even presentation. Researchers dealing with long-term field trials usually store the measurement data for a given experiment in Excel or in a database of... P. Ragán, T. Rátonyi, A. Széles, P. Fejér, I. Bácskai, E. Harsányi |
4. Soil mapping with the VERIS U3 soil scanner in a precision farm in HungaryCurrently, field crop production faces constant challenges. Extreme climatic conditions, deteriorating circumstances on the field have a negative impact on the quantity and quality of available yields, and the ever-changing agro-economic environment makes the profitability of the sector uncertain. Precision crop production means site-specific agricultural cultivation tied to geographical coordinates. Modern strip tillage technology based on precision technology for crops with wide row spacing... P. Ragán, E. Harsányi, T. Rátonyi, A. Széles, P. Fejér, I. Bácskai |
5. Development of Canopy Mapping System of Asian pears (Pyrus pyrifolia Naka) Using Terrestrial Laser ScanningIn this paper, the canopy mapping system (CMS) of Asian pears for estimating yield during Bud thinning and Pruning operations using point cloud data was proposed. Bud thinning and Pruning in Asian pear (Pyrus pyrifolia Naka) is necessary to ensure quality and yield but is time-consuming and heavily depends on work knowledge. This study described a method of estimating the number of fruits through the length of a branch based on remote sensing. The CMS would be useful to support more efficient... E. Morimoto, J. Lee, K. Nonami, I. Matumura, M. Ikebe, S. Sato |
6. Optimizing Water Use Efficiency in Flood Irrigation Systems in UgandaThere is growing demand for water across different sectors of production. Yet the extent of water wastage to furnish inefficient irrigation systems especially in flood irrigated rice systems, is not known. In developing countries and in Uganda particularly, most irrigation scheduling in the irrigation schemes is based on rotational system rather than crop water needs. In Doho Rice Irrigation Scheme (DRIS) in eastern Uganda for example, farmers’ plots receive up to 50mm ponding of irrigation... P. Onen, E. Opolot, G. Olupot, G. Aguttu |
7. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear RegressionTraditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud |