scholarly journals Застосування нейронних мереж для автоматизованого керування вологозабезпеченістю сільськогосподарських культур

2018 ◽  
pp. 201-204
Author(s):  
Л. І. Лєві
Keyword(s):  
Soil Moisture ◽  
Crop Yields ◽  
Control Object ◽  
Climatic Conditions ◽  
Management Systems ◽  
Agricultural Crops ◽  
Weather Factors ◽  
Rational Use ◽  
Moisture Management ◽  
Control Accuracy

Розглянуто нейромережевий підхід до автоматизованого керування вологозабезпеченістю сільськогосподарських культур. Сучасний стан теорії і практики створення штучних нейронних мереж і нейрокомп’ютерів надав можливість розробки принципово нових алгоритмів і методів керування складними нелінійними динамічними об'єктами. Це дозволяє підвищити точність керування вологістю ґрунту, забезпечити отримання планових врожаїв сільськогосподарських культур, економити водні та енергетичні ресурси за рахунок їх раціонального використання. The highest yield of agricultural crops is achieved with the optimal amount of moisture, nutrition, heat, air and light. At the same time, the water regime of the soil is necessary for crops and is created by the appropriate irrigation regime, which establishes the norms, timing and amount of irrigation depending on the biological characteristics of the crops, natural and economic conditions. In determining the irrigation water flow, water consumption or total evaporation is taken into account, depending on climatic conditions, the amount of thermal energy supplied to the surface, soil moisture, the type and yield of the crop. Therefore, issues of adaptation and self-study of automated soil moisture management systems under the influence of random weather factors, changes in the characteristics of the control object, improvement of control accuracy due to the operational accounting of the effect of disturbances on the object, ensuring the production of planned crop yields while rational use of energy and water resources are relevant. In addition, modern moisture management systems for agricultural crops should not only ensure sufficient control accuracy, but also predict the plants need for water for a certain period, minimize energy and water costs without yield loss, be reliable and convenient in operation, provide the operator with complete and timely information about the value of all parameters and the state of the control system. To solve these problems, an approach to automating the process of controlling irrigation systems using neural networks has been considered. The proposed approach allows to improve the accuracy of soil moisture management, to ensure the production of planned crop yields, to save water and energy resources due to their rational use.

scholarly journals Використання нечіткої логіки для автоматизації функціонування зрошувальних систем

2018 ◽  
pp. 153-157
Author(s):  
Л. І. Лєві
Keyword(s):  
Fuzzy Logic ◽  
Soil Moisture ◽  
Moisture Content ◽  
Moisture Transfer ◽  
Control Object ◽  
Climatic Conditions ◽  
Agricultural Crops ◽  
Weather Factors ◽  
Rational Use ◽  
Moisture Management

Розглянуто підхід до автоматизації процесу керування зрошувальними системами із застосуванням нечіткої логіки. Потужність та інтуїтивна простота нечіткої логіки як методології вирішення проблем гарантує її успішне застосування в системах контролю та аналізу інформації. При цьому відбувається підключення людської інтуїції та досвіду оператора. Запропонований підхід дозволяє підвищити точність керування вологістю ґрунту, забезпечити отримання планових врожаїв сільськогосподарських культур, економити водні та енергетичні ресурси за рахунок їх раціонального використання. The highest yield of agricultural crops is achieved with the optimal amount of moisture, nutrition, heat, air and light. In this case, the necessary water regime for agricultural crops is created by the appropriate irrigation regime, which establishes the norms, timing and number of irrigation, depending on the biological characteristics of crops, natural and economic conditions. In determining the flow of water to irrigation take into account water consumption or total evaporation, which depends on climatic conditions, the amount of thermal energy that enters the surface, soil moisture, species and yield of the crop. Therefore, the issues of adaptation and self-studying of automated systems for controlling soil moisture in the conditions of the action of random weather factors, changes in the characteristics of the control object, improving the accuracy of control due to the operational consideration of the perturbations of the object, ensuring the receipt of planned yields of agricultural crops for the rational use of energy and water resources. In addition, modern water management systems for crops should not only provide sufficient management accuracy, but also forecast the need for plants in water for a certain period, minimize energy and water costs without loss of crop, be reliable and easy to operate, provide the operator with complete and timely information the value of all parameters and the state of the control system. A comprehensive solution to these problems is possible only through the development of modern technical means of automation, new mathematical models of moisture transfer in the unsaturated zone of soil and methods of managing moisture content of agricultural crops. Thus, the development of methods for automated management of moisture content of agricultural crops, taking into account perturbations, is an actual scientific and practical task. To solve these problems, the approach to automating the management of irrigation systems with the use of fuzzy logic is considered. The power and intuitive simplicity of fuzzy logic as a solution to problems ensures its successful application in information monitoring and analysis systems. At the same time there is a connection of human intuition and operator experience. The offered approach allows to improve the accuracy of soil moisture management, to ensure that planned crops are harvested, and to save water and energy resources at the expense of their rational use.

Rising Temperatures Increase Importance of Oceanic Evaporation as a Source for Continental Precipitation

2020 ◽  
Author(s):  
Kirsten Findell ◽  
Patrick Keys ◽  
Ruud van der Ent ◽  
Benjamin Lintner ◽  
Alexis Berg ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Amazon Basin ◽  
Crop Yields ◽  
Climatic Conditions ◽  
Indus River ◽  
Evaporative Demand ◽  
Moisture Recycling ◽  
Agricultural Regions ◽  
The Ganges ◽  
Global Mean

<p>Understanding vulnerabilities of continental precipitation to changing climatic conditions is of critical importance to society at large. Terrestrial precipitation is fed by moisture originating as evaporation from oceans and from recycling of water evaporated from continental sources. In this study, continental precipitation and evaporation recycling processes in the Earth system model GFDL-ESM2G are shown to be consistent with estimates from two different reanalysis products. The GFDL-ESM2G simulations of historical and future climate also show that values of continental moisture recycling ratios were systematically higher in the past and will be lower in the future.</p><p>Global mean recycling ratios decrease 2%–3% with each degree of temperature increase, indicating the increased importance of oceanic evaporation for continental precipitation. Theoretical arguments for recycling changes stem from increasing atmospheric temperatures and evaporative demand that drive increases in evaporation over oceans that are more rapid than those over land as a result of terrestrial soil moisture limitations. Simulated recycling changes are demonstrated to be consistent with these theoretical arguments. A simple prototype describing this theory effectively captures the zonal mean behavior of GFDL-ESM2G.</p><p>Key sources of terrestrial evaporation, notably the interior of the Amazon basin and parts of the Ganges-Brahmaputra and Indus River basins, may experience reductions in moisture recycling. This has implications for key sink regions of terrestrial recycled precipitation, especially in rain-fed agricultural regions where crop yields will become increasingly soil moisture limited, such as the La Plata River basin, the corn producing regions of North America, southern Africa and the Sahel.</p><p>The results presented here have been published last year in Journal of Climate dx.doi.org/10.1175/JCLI-D-19-0145.1</p><p> </p>

scholarly journals Ecological features of No-till technology in the conditions of the Southern Steppe of Ukraine

2020 ◽  
Vol 108 (4) ◽  
pp. 47-53
Author(s):  
T. Manushkina ◽  
◽  
А. Drobitko ◽  
T. Kachanova ◽  
O. Heraschenko
Keyword(s):  
Soil Moisture ◽  
Crop Yields ◽  
Steppe Zone ◽  
Climatic Conditions ◽  
Soil Density ◽  
Erosion Processes ◽  
Ecological Features ◽  
No Till ◽  
Soil Microbiological Activity ◽  
Soil Moisture Reserves

Ecological features of No-till technology in the conditions of the Southern Steppe of Ukraine The effect of No-till technology on soil density, soil moisture reserves, soil microbiological activity, and crop yields was studied. The increase in crop yield up to 14.3-22.9% by No-till technology allowed us to draw a conclusion about optimizing soil fertility indicators in the climatic conditions of the southern Steppe zone of Ukraine in comparison with traditional intensive technologies. It was shown that the introduction of No-till technology will allow improve environmental processes in the soil, reduce the anthropogenic load on agroecosystems and the manifestation of erosion processes, increase crop yields and reduce energy costs for their cultivation. Keywords: soil, No-till technology, soil density, soil moisture, fertility, yield.

Rising Temperatures Increase Importance of Oceanic Evaporation as a Source for Continental Precipitation

2019 ◽  
Vol 32 (22) ◽  
pp. 7713-7726 ◽  
Author(s):  
Kirsten L. Findell ◽  
Patrick W. Keys ◽  
Ruud J. van der Ent ◽  
Benjamin R. Lintner ◽  
Alexis Berg ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Crop Yields ◽  
Climatic Conditions ◽  
System Model ◽  
Evaporative Demand ◽  
Moisture Recycling ◽  
The Past ◽  
The Earth ◽  
Agricultural Regions ◽  
Global Mean

Abstract Understanding vulnerabilities of continental precipitation to changing climatic conditions is of critical importance to society at large. Terrestrial precipitation is fed by moisture originating as evaporation from oceans and from recycling of water evaporated from continental sources. In this study, continental precipitation and evaporation recycling processes in the Earth system model GFDL-ESM2G are shown to be consistent with estimates from two different reanalysis products. The GFDL-ESM2G simulations of historical and future climate also show that values of continental moisture recycling ratios were systematically higher in the past and will be lower in the future. Global mean recycling ratios decrease 2%–3% with each degree of temperature increase, indicating the increased importance of oceanic evaporation for continental precipitation. Theoretical arguments for recycling changes stem from increasing atmospheric temperatures and evaporative demand that drive increases in evaporation over oceans that are more rapid than those over land as a result of terrestrial soil moisture limitations. Simulated recycling changes are demonstrated to be consistent with these theoretical arguments. A simple prototype describing this theory effectively captures the zonal mean behavior of GFDL-ESM2G. Implications of such behavior are particularly serious in rain-fed agricultural regions where crop yields will become increasingly soil moisture limited.

scholarly journals GREEN HOUSE AUTOMATION VIA GPRS

2015 ◽  
pp. 250-254
Author(s):  
RAMPRABU .J ◽  
KAMINI .D
Keyword(s):  
Soil Moisture ◽  
Light Intensity ◽  
Plant Growth ◽  
Climatic Condition ◽  
Crop Yields ◽  
Extreme Temperature ◽  
Climatic Conditions ◽  
Mobile Web ◽  
House Automation ◽  
Environment Condition

Appropriate climatic condition are necessary for plant growth ,improve crop yields, efficient use of water and to control the diseased plants. To protect the plants from the adverse climatic conditions such as wind, cold, precepitation, excessive radiation, extreme temperature, insects and diseases.The need for greenhouse automation arises. Our system uses different sensors such as temperature ,LDR,humidifier,soil moisture and camera.The sensed signal from the above sensors are send to ARM 7 controller and the parameters such as temperature,light intensity, humidity,soil moisture and pest are controlled .The pest is identified using camera, processed by Matlab. The sensed information and the environment condition is send to the mobile web server of the greenhouse owner via GPRS.

scholarly journals Untraditional Methods of Growing Cucumbers on Open Areas

2019 ◽  
Vol 8 (3S) ◽  
pp. 586-589
Keyword(s):  
Soil Moisture ◽  
Soil Moisture Content ◽  
Crop Yields ◽  
Climatic Conditions ◽  
Commercial Production ◽  
F1 Hybrids ◽  
Open Ground ◽  
Planting Method ◽  
Similar Soil

The aim of the study is to compare the parameters of the crop yields, phenological development and commercial production of cucumbers under conventional and trellis method in open areas of the Tashkent region of Uzbekistan. The technology of growing cucumbers by the trellis method in open ground for vegetables is an innovative way on small farms and in the country’s gardens. Unlike the conventional method, under the trellis method the number of seedlings increases, the air exchange between plants is improved, the soil moisture content is also improved, the quality of fruits increases and the diseases in the soil decrease. In samples of Uzbekistan 740, Navruz, Sevinch, Samar F1 and Orzu F1, high merchantability in was obtained. Compared to the traditional planting method, the trellis method allowed to enhance crop yields by 4.3, 5.0, 6.6 t/ha for the Uzbekistan-740, Nаvruz and Sevinch varieties and increased yields by 6.5 and 6, 8 t/ha for Samar F1 and Orzu F1 hybrids, respectively. In addition, marketable products of Uzbekistan-740, Navruz and Sevinch varieties were 24.6, 32.4 and 38.8 t/ha, for Samar F1 and Orzu F1 hybrids - 39.7 and 42.8 t/ha, respectively. The research results proved the feasibility of growing cucumbers using trellis technology in open ground for similar soil and climatic conditions of Uzbekistan..

Effect of Weather Factors on the Variability of Economic Characteristics in Sunflower Hybrids

2019 ◽  
pp. 70-84
Keyword(s):  
Climate Change ◽  
Climatic Conditions ◽  
Economic Traits ◽  
Weather Factors

This article presents the results of twelve-year trials of the Region and Ryabota simple hybrids and the three-line hybrid Kameniar breeding laboratory of IOC NAANU hybrid labs, and analyzes their adaptation to ongoing climate change. The purpose of our work was to determine the formation of major economic traits in sunflower hybrids, depending on the agro-climatic conditions of the year.

Influence of Weed Management Practices and Crop Rotation on Glyphosate-Resistant Horseweed (Conyza canadensis) Population Dynamics and Crop Yield-Years III and IV

Weed Science ◽  
2009 ◽  
Vol 57 (4) ◽  
pp. 417-426 ◽  
Author(s):  
Vince M. Davis ◽  
Kevin D. Gibson ◽  
Thomas T. Bauman ◽  
Stephen C. Weller ◽  
William G. Johnson
Keyword(s):  
Population Dynamics ◽  
Crop Rotation ◽  
Crop Yield ◽  
Cover Crops ◽  
Weed Management ◽  
Management Practices ◽  
Plant Density ◽  
Crop Yields ◽  
Management Systems ◽  
No Till

Horseweed is an increasingly common and problematic weed in no-till soybean production in the eastern cornbelt due to the frequent occurrence of biotypes resistant to glyphosate. The objective of this study was to determine the influence of crop rotation, winter wheat cover crops (WWCC), residual non-glyphosate herbicides, and preplant application timing on the population dynamics of glyphosate-resistant (GR) horseweed and crop yield. A field study was conducted from 2003 to 2007 in a no-till field located at a site that contained a moderate infestation of GR horseweed (approximately 1 plant m−2). The experiment was a split-plot design with crop rotation (soybean–corn or soybean–soybean) as main plots and management systems as subplots. Management systems were evaluated by quantifying in-field horseweed plant density, seedbank density, and crop yield. Horseweed densities were collected at the time of postemergence applications, 1 mo after postemergence (MAP) applications, and at the time of crop harvest or 4 MAP. Viable seedbank densities were also evaluated from soil samples collected in the fall following seed rain. Soybean–corn crop rotation reduced in-field and seedbank horseweed densities vs. continuous soybean in the third and fourth yr of this experiment. Preplant herbicides applied in the spring were more effective at reducing horseweed plant densities than when applied in the previous fall. Spring-applied, residual herbicide systems were the most effective at reducing season-long in-field horseweed densities and protecting crop yields since the growth habit of horseweed in this region is primarily as a summer annual. Management systems also influenced the GR and glyphosate-susceptible (GS) biotype population structure after 4 yr of management. The most dramatic shift was from the initial GR : GS ratio of 3 : 1 to a ratio of 1 : 6 after 4 yr of residual preplant herbicide use followed by non-glyphosate postemergence herbicides.

scholarly journals Impact of Soil Moisture on Crop Yields over Brazilian Semiarid

2017 ◽  
Vol 5 ◽  
Author(s):  
Luciana Rossato ◽  
Regina C. dos Santos Alvalá ◽  
José A. Marengo ◽  
Marcelo Zeri ◽  
Ana P. M. do Amaral Cunha ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Crop Yields ◽  
Brazilian Semiarid
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