INMATEH - Agricultural Engineering

9-22

Authors: Bularda, M.; Ungureanu, N.; Istricioaia, S.F.; Ciuperca. R.; Mitrache, P.M.

This paper presents the results obtained regarding the realization of a functional model of equipment for managing in-depth amendments on salted lands and the results regarding the effect of the work performed in three soil conditions. At the same time, the physical properties of the amendment used (phosphogypsum), determined in laboratory conditions, in order to know the problems that may occur during the application work, are presented.

33-42

Authors: Xu, Zehai; Song, Haiyan; Wu, Zhiming; Xu, Zefu; Wang, Shifang

The blurring of crop images acquired by agricultural Unmanned Aerial Vehicle (UAV) due to sudden inputs by operators, atmospheric disturbance, and many other factors will eventually affect the subsequent crop identification, information extraction, and yield estimation. Aiming at the above problems, the new proposed combined deblurring algorithm based on the re-weighted graph total variation (RGTV) and L0-regularized prior, and the other two representative deblurring algorithms were applied to restore blurry crop images acquired during UAV flight, respectively. The restoration performance was measured by subjective vision, and objective evaluation indexes. The crop shape-related and texture-related feature parameters were then extracted, the Support Vector Machine (SVM) classifier with four common kernel functions was implemented for crop classification to realize the purpose of crop information extraction. The deblurring results showed that the proposed algorithm performed better in suppressing the ringing effect and preserving the image fine details, and retained higher objective evaluation indexes than the other two deblurring algorithms. The comparative analysis of different classification kernel functions showed that the Polynomial kernel function with an average recognition rate of 94.83% was most suitable for crop classification and recognition. The research will help in further popularization of crop monitoring based on UAV low-altitude remote sensing.

54-64

Authors: Zhang, Zhilong; Yu, Yongtao; Yang, Qiyong; Geng, Aijun; Zhang, Ji

Stalk returning technology was an important way to preserve soil nutrients and reduce soil erosion. It was of great significance to improve the stalk chopping quality, reduce power consumption. On the basis of the previous research, the finger wheel and cutting disc combined device for stalk returning was developed, mainly composed of the sawtooth blade group, the finger wheel and the stalk lifting grid. The stalk was fed into the cutting area of the sawtooth blades by the rotation of the finger wheel, and the operation of the stalk chopping was completed under the combination of the sawtooth blade group and the finger wheel. The movement of stalks in the device with finger wheel and sawtooth blades was analysed by high speed photography, and the rotational speed of finger wheel, the rotational speed of sawtooth blade group, the stalk feeding speed had a great influence on the movement of the stalks. Through orthogonal test and verification test, the clamping angle was 20°, the rotational speed of sawtooth blade group was 800 min-1, the stalk feeding speed was 1.45 m/s, the rotational speed of finger wheel was 110 min-1, the cut length qualified rate was 92.47% and the cutting power was 529.97 W. The test results met the quality requirements of the Chinese national standard. The related research can provide reference for the research of stalk returning device.

477-487

Authors: Xu, ChunBao; Zhang, HongJian; Liu, ShuangXi; Zhang, Chengfu; Mu, Junlin; Wang, JinXing

This study aims to evaluate the effects of different parameter settings on the ditching performance using a ditching-fertilizer. We aimed to improve the performance of ditching-fertilizer machine performance in sustainable agriculture. With Box-Behnken experimental design method, taking forward speed, the rotation speed of the ditching cutter, and the deflection angle of ditching cutter as experimental factors, taking ditching depth stability and soil coverage rate as test indexes, the operation parameters of orchard ditching-fertilizer machine are studied. The regression model between test indexes and experimental factors is established, and the influence of each factor on the experimental indexes is analyzed. The test factors are comprehensively optimized. The results show that when the forward speed is 0.8km/h, the rotation speed of the ditching cutter is 348r/min, and the deflection angle of the ditching cutter is 32°, the ditching effect is the best. At this time, the stability coefficient of the ditching depth is 98.33%, and the soil coverage rate is 81.53%. As for the field test, which measured the stability coefficient of ditching depth, and the average soil cover rate is 96.24%, and 79.14%, respectively, and the relative errors from the optimized value are 2.17%, and 3.02%, respectively.