Agroecological modeling of spring barley cultivation technology in the conditions of the Penza region

Abstract

The article presents the results of modeling the cultivation of barley of the Eifel variety on leached chernozems of the Bashmakovsky district of the Penza region. In order to carry out modeling, the framework Local information and reference system for the optimization of land use was deeply adapted. The adaptation of the software modules to the climatic and soil conditions of a particular study area allowed one to reach 7% errors in modeling the cultivation of agricultural crops in the presence of a set of indicators necessary for constructing a model. Technological calculations of the model made it possible to reduce the number of minimum required technological operations, as well as to rationally distribute the application of mineral fertilizers for the planned yield. The economic calculations of the model made it possible to achieve a high production profitability of 66 ± 7%. The constructed model was tested on the experimental field of «Bashmakovskiy khleb» JSC in 2020. Practical verification has shown the possibility of using the model in agricultural production under normal climatic conditions and its high correlation with the actual results obtained [1]. Statistical analysis of the calculated data of the model and the actual yield with the achieved economic indicators in the conditions of the model field showed a level of reliability of calculations of 95%.

Spring wheat biomass estimation by proximal and remote methods in condition of academical field of central Russia

“…Based on the data obtained from the UAVs it is possible to estimate the workload of agricultural operations and control their implementation, predict the phenology of grain crops, fertilizer application optimization and optimal dates for harvesting [4] Remote sensing data obtained using UAVs have higher spatial and temporal resolution compared to satellite images, and compared to conventional aircraft UAVs have lower cost, weight, and potentially higher resolution due to lower minimum altitude and flight speed [3]. Another advantage of UAVs is the possibility to obtain a digital elevation model with very high resolution along with orthophoto.…”

Spring wheat yield prediction with empirical regression models using different biomass parameters

“…The progressive increase in average annual temperatures observed in recent decades is changing the agroclimatic potential for agriculture in Russia and the world [1,2]. In the conditions of economic and environmental risks typical for the agricultural sector, agricultural holdings need to monitor the parameters of their activities and conduct operational diagnostics.…”

“…In the conditions of economic and environmental risks typical for the agricultural sector, agricultural holdings need to monitor the parameters of their activities and conduct operational diagnostics. Building a model of a certain process, considering the profitability of production, is performed taking into account modeling, planning and forecasting, which are considered effective management methods [2].…”

“…Forecasting is based on the accumulated experience, that is, it is a complex process, during which it is necessary to solve many different tasks [2,3].…”

“…It is necessary to take into account the large amount of data that requires modern computing equipment to process. In such conditions, the number of possible solutions is very large, and choosing the best one without a comprehensive and comprehensive analysis can lead to errors [2].…”