Aim. The purpose of the research is to quantify the agroecological response of plants and the bio‐productivity of crops to irrigation using electrochemical water treatment technology. Material and Methods. The study was carried out using the tomato (Solanum lycoparsicum, hybrid Pink Paradise F1) in a protected ground culture as an example. The experimental site is located in the dry‐steppe zone of light chestnut soils of the Lower Volga region (48о56΄46˝N44о51΄45˝E). The magnitude of the electrochemically initiated shift of the redox potential of irrigation water and the options for combining the use of electrochemically treated water were taken as variable experimental factors. Results. It was established that the magnitude of the electrochemically initiated shift of the redox potential of irrigation water has a predominant effect on the estimated biometric indicators: the coefficient of variation of the indicators for this factor reached 9.5‐38.0%. The influence of the method of using electrochemically treated water is estimated at 4.12‐10.24%, but regarding net assimilation the significance of this factor is not statistically proven. The highest estimates of linear growth – 2.21 m, maximum leaf area – 43.4 thousand m2/ha, accumulated biomass – 13.39 t/ha, photosynthetic potential – 3617 thousand m2 days/ha and tomato biological yield – 140.0 t/ha, obtained by the combined use of a catholyte for vegetation and fertilizer irrigation with an electrochemically initiated shift of the redox potential (‐500) mV. Conclusion. The studies have proved the statistical significance of the biometric response of tomato plants to the use of water with electrochemically altered redox potential for vegetation and fertilizer irrigation.
A feature of combined irrigation systems is the integration of various technologies and methods of irrigation with the implementation of such a possibility on the basis of a single technical system. The hydraulic calculation of such systems is more complicated, since it is assumed that it is possible to implement various modes of operation, which differ by the combination of hydraulic parameters. The operating modes are determined by the combination of the involved irrigation technologies carried out simultaneously. The research has proposed an algorithm for the computer simulation of combined irrigation systems hydraulic parameters. The algorithm implements the principle of step-by-step calculation and formation of statistical screenshots of the hydraulic parameters of the system based on the basic calculated dependencies of classical hydraulics. Static screens can be performed at any time interval, which allows to assess the dynamics of the process under changing external conditions, as well as study the system under different operating modes. The algorithm has built an ingenious system of objects identification, making it possible not only to verify the uniquely defined knots of stems section, but also to organize serial search nodal points in accordance with the architecture of the construction of hydro-reclamation systems.
The article is devoted to the actual problem solving of precision irrigation in terms of an irrigation management model creating based on the soil moisture spatial variation. The research key element is that the model being created takes into account the soil moisture content variability not according the area of the irrigated plot, but in the vertical profile of the agricultural crops active root water consumption zone. This approach avoids the necessity for the irrigation equipment design complication for irrigation moisture differentiated distribution and therefore the technology application allows us to avoid unnecessary costs. The irrigation requirement assessing block according to the moisture content differentiating in the active soil layer profile is new in the proposed model architecture. The block algorithm assumes the two-stage irrigation requirement assessment, first, based on the total level of soil moisture variation in the active layer profile and second, on the layers sum of the active soil horizon with a moisture content below the threshold level. Together, these estimates allow us to make a decision about the irrigation necessity if soil moisture excessive variation in the profile layers and the moisture distribution nature in the soil profile have a significant impact on the irrigated crop productivity.
The purpose of the research is to develop a scientifically based system for assessing and allocating unused agricultural lands for the creation of organic agriculture projects. The Methods. The working hypothesis of the research is based on the assumption of the possibility of priority development of unused lands, including the former reclaimed agricultural ones for organization of organic agricultural production. The subject of the research is systemic and methodological aspects and algorithms for the allocation of unused agricultural plots, as well as the development of projects for the production of organic products on these lands. The Results. The research proposed an algorithm for assessing the possibility of using waste and fallow lands for creating organic agriculture projects on their basis, which includes several groups of assessments, including general assessments, geo-oriented assessments, environmental assessments, sanitary and phytosanitary assessments. The results of these studies are an exhaustive information base for developing a well-grounded judgment on the possibility of using cultivated land in the implementation of new projects of organic agriculture. The result of solving the algorithm is the implementation of one of two outcomes, the first of which allows you to form a reasonable judgment about the compliance of the land plot with the principles of organic agriculture, and the second rejects this assumption. Assessment of the possibility of using the land under development in organic agriculture projects is the input research block of the enlarged algorithm for creating organic production. Work is carried out on four enlarged blocks in a sequence regulated by the architecture of the proposed algorithm. At each stage, the creation of a project may be rejected, for which special groups and methods of evaluation are used. The Conclusions. Carrying out research in accordance with the architecture of the developed algorithms allows, at the lowest cost, to develop optimal solutions for the creation and implementation of an organic agriculture project on cultivated, previously unused, agricultural lands.
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