One of the basic tools used in precision agriculture technology is yield monitoring and mapping. Yield maps are used to monitor the efficiency of applied inputs, to assess the variability of field and have potential to be used in farm records and farm management software. The paper deals with comparison of yield maps with information on yield obtained from hand sampling. Analyses are based on five-year data from one field with spring barley, oil seed rape, winter wheat and maize crop rotation. Results show that the correlation coefficient across the time period reached a value of 0.89 (p <0.05), which means that the yield maps show the yield trend of the field. However, looking at the data in more detail and comparing the pairs of data for selected (discrete) monitoring points, the error of estimation was calculated. This error showed that the yield monitor underestimated or overestimated the yield in average by 25 %. Therefore, the data cannot be used to evaluate the absolute yield at selected place of the field.
Determining the production zones of field is an important analysis in the precision farming technology as these may be used to control field operations in site-specific application. The aim of this paper was to evaluate the potential to identify the yield potential zones based on historical yield maps and to evaluate the procedure over the growing extent of input data. Standardized yield values from six growing seasons were considered. Suitable datasets were created, and hierarchical and non-hierarchical clustering methods were applied to create clusters. Results showed that using the data from commercial combine monitoring systems enables determining the zones. Multiple yield data are recommended as the values of analyses increase with the increased number of input datasets. However, commercial data have limitations in terms of complexity.
Controlled traffic farming is a technology used to avoid soil compaction introduced by field machinery load and traffic. The benefits in improved soil conditions and yield increase were shown in Australia, the US and some parts of Europe. The use of permanent tramlines for every field operation was considered as a barrier to implementation in some parts of Europe. This was mainly due to fear from tillage quality in terms of crop residues distribution. The paper reports the results of the two-year assessment of the technology compared to traditional random traffic treatments in field scale experiments. The spring barley and oilseed rape crops were grown. Measurements were taken after the stubble breaking tillage operation with the Lemken disc harrows. Image analysis was used to calculate the distribution of crop residues. Results showed that the use of permanent tramlines has no negative influence on crop residues distribution.
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