Digital Technologies Determination Effectiveness for the Productivity of Organic Winter Wheat Production in Low Soil Performance Indicator
نویسندگان
چکیده
The most important aspect of precision farming is the prediction crop yield and quality. Digital technologies (soil maps combine harvester with telemetry functions) were used to determinate organically grown winter wheat (variety Skagen) in two fields 18.8 4.5 ha Lithuanian regional conditions, an area classified as low-performance for farming. objective research was determine effectiveness digital assessment dynamics soil pH, P2O5, K2O, humus organic productivity, grain crude-protein dependence soils. Haplic Luvisol soils predominated, while Eutric Gleysols, Arenosols, Planosols intervened smaller areas, granulometric composition arable layer subsoil varied from sand sandy loam, silt loam. In areas Arenosols lower parts field, where predominant Luvisols soils, crude protein content lower. biggest 6.95 t ha?1 obtained Crude grains 9.70 13.34%. Although both reflected non-uniform yields correlation between them well, information on cover field better explained reasons yields. case this research, inclusions fields, causing plants soak during winter, identified. combination made it possible accurately, quickly. Moreover, there a need, future, evaluate variation address changes due improvement certain areas. complex use these can be beneficial terms labour economy. However, accurate benefit time economic should investigated.
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ژورنال
عنوان ژورنال: Agriculture
سال: 2022
ISSN: ['2077-0472']
DOI: https://doi.org/10.3390/agriculture12040474