Javascript must be enabled to continue!
Modeling and Assessment of Soil Fertility Level
View through CrossRef
Introduction. The relevance of the study is related to the problem of increasing soil fertility. The value of soil as the main means of agricultural production in a specific economic infrastructure is determined by its fertility that is its ability to satisfy the needs of specific plants for nutrients, water, and to provide the root system of plants with air and heat. The effectiveness of increasing soil fertility depends on objective soil assessments and forecasting. Therefore, mathematical modeling for the fertility level of soils for the agricultural production is an urgent task for agroengineering studies.Aim of the Study. The study is aimed at developing a mathematical model for an integrated assessment of soil fertility levels.Materials and Methods. When conducting the study, analytical methods were used and the results obtained by various authors on this problem were summarized. The object of the study was the published results of scientific researches by the authors from other scientific institutions obtained on the problem under consideration.Results. Based on an analysis of the literature references, there was made a scientifically-based list of the most significant indicators for assessing soil fertility, which includes the content of organic matter (humus), acidity, humidity, soil porosity, presence of microorganisms and clay particles, content of mobile forms of nitrogen, phosphorus and exchangeable potassium. A mathematical model has been developed based on the criterion of maximum soil fertility, which makes it possible to assess the level of soil fertility using the proposed indicators.Discussion and Conclusion. The examples of calculations based on average and basic values of indicators with the use of the proposed mathematical model are presented. They give an idea of the most typical procedures for generating indicators and assessing the process under consideration. The value of the fertility probabilistic coefficient 1 indicates soil depletion (degradation), which will not ensure an economically sound harvest. In this case, measures must be taken to increase soil fertility. When 1, the soil is fertile and is able to supply plants with nutrients, water and air for their growth and development. The soil fertility level is an important criterion for assessing the impact of agricultural technologies on environmental safety and the environment state.
National Research Mordovia State University MRSU
Title: Modeling and Assessment of Soil Fertility Level
Description:
Introduction.
The relevance of the study is related to the problem of increasing soil fertility.
The value of soil as the main means of agricultural production in a specific economic infrastructure is determined by its fertility that is its ability to satisfy the needs of specific plants for nutrients, water, and to provide the root system of plants with air and heat.
The effectiveness of increasing soil fertility depends on objective soil assessments and forecasting.
Therefore, mathematical modeling for the fertility level of soils for the agricultural production is an urgent task for agroengineering studies.
Aim of the Study.
The study is aimed at developing a mathematical model for an integrated assessment of soil fertility levels.
Materials and Methods.
When conducting the study, analytical methods were used and the results obtained by various authors on this problem were summarized.
The object of the study was the published results of scientific researches by the authors from other scientific institutions obtained on the problem under consideration.
Results.
Based on an analysis of the literature references, there was made a scientifically-based list of the most significant indicators for assessing soil fertility, which includes the content of organic matter (humus), acidity, humidity, soil porosity, presence of microorganisms and clay particles, content of mobile forms of nitrogen, phosphorus and exchangeable potassium.
A mathematical model has been developed based on the criterion of maximum soil fertility, which makes it possible to assess the level of soil fertility using the proposed indicators.
Discussion and Conclusion.
The examples of calculations based on average and basic values of indicators with the use of the proposed mathematical model are presented.
They give an idea of the most typical procedures for generating indicators and assessing the process under consideration.
The value of the fertility probabilistic coefficient 1 indicates soil depletion (degradation), which will not ensure an economically sound harvest.
In this case, measures must be taken to increase soil fertility.
When 1, the soil is fertile and is able to supply plants with nutrients, water and air for their growth and development.
The soil fertility level is an important criterion for assessing the impact of agricultural technologies on environmental safety and the environment state.
Related Results
Ecological soil physics as section of ecological soil science
Ecological soil physics as section of ecological soil science
Nowadays, there is a general penetration of ecology in other related sciences. Soil science is not an exception. To the evidence of this, the works of soil scientists may serve, th...
Annual Flood Phenomenon and Fertility Status of Rice Soil in The Coastal Area of Bengkulu
Annual Flood Phenomenon and Fertility Status of Rice Soil in The Coastal Area of Bengkulu
[ANNUAL FLOOD PHENOMENON AND FERTILITY STATUS OF RICE SOIL IN THE COASTAL AREA OF BENGKULU]. The rice fields in Rawa Makmur Village were agricultural land that was affected by annu...
Developing a high-performance soil fertility status prediction voting ensemble using brute exhaustive optimization in automated multiprecision weights of hybrid classifiers
Developing a high-performance soil fertility status prediction voting ensemble using brute exhaustive optimization in automated multiprecision weights of hybrid classifiers
With the advent of machine learning (ML) techniques, various algorithms have been applied in previous studies to develop models for predicting soil fertility status. However, these...
Soil-Available Nutrients Associated with Soil Chemical and Aggregate Properties following Vegetation Restoration in Western Sichuan, China
Soil-Available Nutrients Associated with Soil Chemical and Aggregate Properties following Vegetation Restoration in Western Sichuan, China
The status and drivers of soil-available nutrients in plant-recovered soils are not fully understood, limiting our ability to explore the role of soil-available nutrients in soil g...
Evaluation of digital maps of top-soil properties compared to large-scale laboratory soil data and synergies towards a better European soils’ delineation. 
Evaluation of digital maps of top-soil properties compared to large-scale laboratory soil data and synergies towards a better European soils’ delineation. 
Soil maps describe spatial variability by using traditional or predictive soil mapping techniques. Conventional soil maps group soils based on their similar cartographic properties...
Residential and wealth-related disparities of high fertility preferences in Ethiopia: A decomposition analysis
Residential and wealth-related disparities of high fertility preferences in Ethiopia: A decomposition analysis
Background
Fertility preference significantly influences contraceptive uptake and impacts population growth, especially in low and middle-income countries. In the previous pieces o...
FERTILITY TRANSITION IN BANGLADESH: UNDERSTANDING THE ROLE OF THE PROXIMATE DETERMINANTS
FERTILITY TRANSITION IN BANGLADESH: UNDERSTANDING THE ROLE OF THE PROXIMATE DETERMINANTS
Bangladesh has been passing through a crucial phase of fertility transition. The level of fertility declined dramatically during the early 1990s without any remarkable improvement ...
Soil health assessment of the Sanborn Field long-term experimental study
Soil health assessment of the Sanborn Field long-term experimental study
Soil health assessment uses a combination of potential indicators affecting soil processes to comprehensively monitor soil change, caused by cropping systems and soil management. T...

