INMATEH - Agricultural Engineering

4

Authors: Caba I.L., Bungescu S., Selvi K.Ç., Boja N., Danciu A.

To achieve high efficiency in exploiting the existing agricultural harvesting machines and gathering fibrous fodder the specialists should be always preoccupied to improve these machines performance. This is possible through careful consideration of each working process, performed by the machine, which at its turn should lead to ideal values. In this paper we have proposed improvements of cutter grinding operation, comprising the self loading trailers.

6

Authors: Tsiz' I., Homich S.

An alternative source of maintaining soil fertility are sediments of freshwater lakes – sapropels. The pneumatic intake device allows to mine sapropel of natural humidity. To investigate the influence of process parameters on the performance and visual observation mode motion of the air flow of sapropel made experimental setup was made. Methodology of research in this setting is using mathematical method of experiment planning. This method developed for obtaining the mathematical model of the process in the form of the regression equation. It is also found that air flow of sapropel moves with shell structure.

6

Authors: Rusănescu C.O., Paraschiv G., Murad E., Dutu M.F.

In this paper is monitored the intensity of solar radiation by the meteorological station based on solar radiation intensity and are calculated: intensity of diffuse radiation, direct radiation intensity, declination angle, hour angle, zenith angle, azimuth angle. The weather station type: AWS / EV is a product born from the need to frequently monitor the environment variables. Use of appropriate mathematical algorithm that we presented in this paper for determining sun-earth angle makes it possible to accurately follow the sun in the sky. The results of this monitoring solar radiation intensity, allow interpretations that can be exploited to determine the local potential of solar energy utilization. The efficiency of a solar collector (of thermal or PV panel type) can be meaningfully increased if the collector is tracked in accordance with the sun so that the incidence angle (angle between the sun ray and the perpendicular line on the collector’s plane) becomes null or very small. Achieving this requirement involves modeling the Sun- Earth angle, which must be accurate, relatively simple to achieve.

8

Authors: Xu J., Yao G.

The long-standing problem of agricultural product logistics process heavy loss and high cost has seriously constrained the development of rural economy and the improvement of the living standard of farmers. In order to identify the main factors which influence the development of agricultural products logistics, six aspects, i.e. the rural logistics support level, the level of economic development, social attention, logistics supply and demand level, the level of modernization and logistics technical levels with 20 factors were selected to establish evaluation index system. The combination of analytic hierarchy process and Grey correlation analysis method is applied to calculate the indicators at all levels. And the results were analyzed meticulously with a view to China's modern agricultural product logistics development planning and provide scientific basis.

8

Authors: Wang H.

Supply chain performance evaluation for fresh agricultural products is one of the key techniques and a research hotspot in supply chain management and in fields related. In order to overcome the deficiencies of traditional models， a new fuzzy neural network algorithm for supply chain performance evaluation of fresh agricultural products is presented based on the analysis of present literatures in the field. First the model structure of the presented algorithm is designed and simplified combining the advantages of BP neural network model and fuzzy comprehensive evaluation model; secondly the presented algorithm is improved through improving its calculation procedures and learning methods. Finally the model is performed with the data from certain supply chains of fresh agricultural products enterprises and the experimental results show that the algorithm can improve calculation efficiency and evaluation accuracy when used for supply chain performance evaluation of fresh agricultural products, practically.

10

Authors: Lei Y., Xiaokang D., Jianlei K., Zheng Y., Jinhao L.

Accurate identification and measurement of obstacles in forest are particularly important for improving operational capability and efficiency of harvester. In this paper, three distinct algorithms, including grid search (GS), particle swarm optimization (PSO) and genetic algorithm (GA), are proposed for parameters optimization of support vector machine (SVM) to improve the performance of detecting obstacles in forest area. First, the three different optimization algorithms are respectively adopted to optimize parameters which are used in SVM. Then the SVMs with optimized parameters are applied to identify obstacles in forest. At last, their performances are compared based on the testing results of 150 samples of obstacles in the forest. The experimental results show that the GS algorithm with leave-one-out (LOO), PSO algorithm and GA algorithm have better classification accuracy than the GS with 6-fold cross-validation (CV). Especially for PSO and GA algorithms, the global optimal solution can be found rapidly without traversing all parameters within the grid.

10

Authors: Frăsineanu C., Chiurciu I. A., Stamate V.

Environmental protection is of major importance because economic development takes place in the natural environment in which we are existing and working. According to the Environmental Protection Law 137/1995, pollution is the direct or indirect introduction, as a result of activities carried out by humans, of substances in soil or air that can harm human society and environment quality. Pollutants can be characterized according to the source, the aggregation, of changes determined. Among the elements that characterize a pollutant analyzed through its interactions with the environment, the most important are the maximum permissible concentration, degree of persistence and synergy effects that trigger when they are together with other pollutants. This article presents the optimal level of pollution reduction and of losses in correlation with the benefits and the costs of implementing.