Grain Sieve Loss Fuzzy Control System in Rice Combine Harvesters [PDF]
Applied Sciences, 2018 The main working parts of the cleaning device of a rice combine harvester can be controlled by an established control strategy in real time based on the monitored grain sieve loss. This is an efficient way to improve their cleaning adaptability, since as
Zhenwei Liang, Yaoming Li, Lizhang Xu
doaj +3 more sources
FUZZY ADAPTIVE CONTROL OF GRAIN COMBINE
Advanced Engineering Research, 2012 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
doaj +3 more sources
Design and Simulation of a Genetically Optimized Fuzzy Immune PID Controller for a Novel Grain Dryer
IEEE Access, 2017 Controlling a grain dryer plant is a challenging task because of its complex drying mechanism. The aim of this paper is to investigate effective control strategies for a newly designed grain dryer plant, and to optimize the control performance, such as ...
Aini Dai, Xiaoguang Zhou, Xiangdong Liu
doaj +3 more sources
Delineation and evaluation of management zones for site-specific nutrient management using a geostatistical and fuzzy C mean cluster approach [PDF]
Scientific ReportsExpansive soil spatial variability plays a key role in the over- and under-application of fertilizers, contributing to environmental pollution. Assess soil variability and delineate it into management zones to adopt site-specific nutrient management for ...
Pandit Vaibhav Bhagwan +7 more
doaj +2 more sources
Grain segmentation of sandstone images based on convolutional neural networks and weighted fuzzy clustering [PDF]
IET Image Processing, 2020 Grain segmentation of sandstone images is to partition the images into non‐overlapping regions, each of which is an independent mineral grain. However, a sandstone image usually contains hundreds of mineral grains and complicated micro‐structures, which makes current segmentation methods inefficient.
Feng Jiang
exaly +2 more sources
Advanced computational approaches for predicting sunflower yield: Insights from ANN, ANFIS, and GEP in normal and salinity stress environments. [PDF]
PLoS ONEPrediction of crop yield is essential for decision-makers to ensure food security and provides valuable information to farmers about factors affecting high yields.
Sanaz Khalifani +5 more
doaj +2 more sources
Complex System Modeling and Simulation, 2021 The Mixed No-Idle Flow-shop Scheduling Problem (MNIFSP) is an extension of flow-shop scheduling, which has practical significance and application prospects in production scheduling. To improve the efficacy of solving the complicated multiobjective MNIFSP,
Wenqiang Zhang +4 more
doaj +1 more source
Modeling the decision-making problem for multi-connected technical systems based on expert knowledge [PDF]
E3S Web of Conferences, 2020 The problem of evaluating the effectiveness of a carousel-type grain dryer is considered. To solve this problem, we used the fuzzy-probability approach of Zadeh-Mamdani, based on expert knowledge.
Kerimov Mukhtar +2 more
doaj +1 more source
Covariant fuzzy observables and coarse-graining [PDF]
Reports on Mathematical Physics, 2004 19 ...
Heinonen, Teiko +2 more
openaire +3 more sources
Fuzzy measurements and coarse graining in quantum many-body systems [PDF]
Physical Review A, 2021 8 pages, 4 ...
Carlos Pineda +3 more
openaire +2 more sources