Yanwei Y.,Chinese Academy of Agricultural Sciences |
Yanwei Y.,The State Key Laboratory of Soil |
Xiaochao Z.,Chinese Academy of Agricultural Sciences |
Xiaochao Z.,The State Key Laboratory of Soil |
And 2 more authors.
International Journal of Agricultural and Biological Engineering | Year: 2010
Spray irrigation is one of the effective techniques in saving water and increasing crop yield. Large-scale linear move spray irrigation systems are widely used in China. However, the traditional go-stop-go driving method causes difficulty in controlling the linear move irrigator. A new control method efficient in operation and the consumption of water, electricity, and labor is needed. Because of the difficulty in real-life examination of the designed systems, virtual reality technology was used to simulate the controlling and driving system in this study. Three-dimensional models of the irrigation system components were built at proper sizes. The three-dimensional images of the farmland as well as the mechanical models of the irrigation system were also built following the principles of ground vehicle dynamics. Application programs were developed to simulate the control system and the driving system. Through simulation an optimal control method was found, which was then used in the field test to control the large scale irrigator to move straight forward with an angle error of less than 0.06°.
Zhou L.,China Agricultural University |
Zhou L.,The State Key Laboratory of Soil |
Wang S.,China Agricultural University |
Zhang X.,The State Key Laboratory of Soil |
And 2 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2012
To improve the reliability of the seeding performance of corn planter, a monitoring system was developed based on capacitive sensor. In order to obtain constrained conditions of the electrode plate length, corn seed movement discipline and mechanism in the dropping process were analyzed theoretically. The detection circuits mainly consisted of microcomputer PIC18F2580, capacitive convert chip MS3110 and AD7685. The capacitive pluse peaks interval and curve integral were calculated, the information of seeding performance were obtained such as seeding quantity, missing rate and multiples rate. The experiment results showed that the system accuracy for single seed detection was up to 97.3%, and when the simulation velocity of the planter was 4.0 km/h, the system had an accuracy of 94.6% in seeding quantity, 93.5% in missing detection and 88.1% in multiples rate. This system can effectively monitor seeding performance and help to improve sowing quality.