Results 11 to 20 of about 3,004 (285)
MODELING OF GRAIN PRODUCTION PROFITABILITY BY FUZZY LOGIC
Ukraine is an agrarian state. One of the most important brunches of agriculture sector is grain production. High yield of grain is a basis of Ukrainian food security. Therefore the task of developing a reliable mathematical model forecasting the grain production profitability is actually.
Petro Hrytsiuk, Tetyana Babych
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Study on Prediction of Grain Yield Based on Grey Theory and Fuzzy Neutral Network Model [PDF]
In order to improve the prediction precision of grain yield, the grey system theory and the fuzzy neutral network are combined to construct the combined prediction model, which is applied in predicting the grain yield.
Hui-yun Zhang
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Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
: Aeration is currently the most commonly used technique to improve the drying and storage of grain, depending on temperature and water content of the grain, as of the temperature and relative humidity of the outside air.
Albino Szesz Junior +4 more
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FORECASTING THE YIELD OF GRAIN CROPS USING FUZZY LOGIC SYSTEMS
The grain industry has a special place in the export of Ukraine. Ukraine takes the third place for some years in the world by grain supply to the foreign markets. That’s why the problem solving of the agricultural production stability is one of the most important tasks of agricultural industrial complex.
Petro Hrytsiuk, Larysa Bachyshyna
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Expert systems as a tool to manage accident risks in grain storage facilities
Caring for workers’ welfare and health is an Engineering basic principle, which comprises scientific studies and aims to achieve a positive result in the end of the processes.
Rodrigo Couto Santos +4 more
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FUZZY ADAPTIVE CONTROL OF GRAIN COMBINE
The solution to the problem on the adaptive control of the motion path and combine tools loading based on fuzzy logic inference is considered. The problem formalization of the fuzzy combine control under the frequently changing operation conditions is ...
Dmitry Yakovlevich Parshin +1 more
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Deep Learning and Histogram-Based Grain Size Analysis of Images
Grain size analysis is used to study grain size and distribution. It is a critical indicator in sedimentary simulation experiments (SSEs), which aids in understanding hydrodynamic conditions and identifying the features of sedimentary environments ...
Wei Wei +4 more
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Development of a fuzzy logical model of Sugeno for the classification of grain varieties [PDF]
Ambiguity and fuzziness are characteristic of many real-life situations, including the classification of objects based on their characteristics. In this context, fuzzy logic is a powerful tool for modeling uncertainty and making decisions under fuzzy conditions.
Dilnoz Mukhamedieva +3 more
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Design and Experiment of an Unoccupied Control System for a Tracked Grain Vehicle
In order to enhance crop harvesting efficiency, an automatic-driving tracked grain vehicle system was designed. Based on the harvester chassis, we designed the mechanical structure of a tracked grain vehicle with a loading capacity of 4.5 m3 and a grain ...
Jiahui Pan +7 more
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Anti-collapse mechanism of CBM fuzzy-ball drilling fluid
Although fuzzy-ball drilling fluid has been successfully applied in CBM well drilling, it is necessary to study its anti-collapse mechanism so that adjustable coalbed sealing effects, controllable sealing strength, rational sealing cost and controllable ...
Lihui Zheng +4 more
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