Ronghua Ji

WEB-Based Intelligent Diagnosis System for Cotton Diseases Control

Diseases control is always an issue in cotton production, the timely detection and effective control of diseases depend on, in most cases, an effective diagnosis system. Based on the distribution of cotton diseases in the main yielding areas of China in recent years, the main species and characters of cotton diseases were listed classified in the study and a database was established for this purpose. BP neural network as a decision-making system was used to establish an intelligent diagnosis model. Based on the model, a WEB-based Intelligent Diagnosis System for Cotton Diseases Control was developed. An experiment scheme was designed for the system test, in which 80 samples, including 8 main species of diseases, 10 samples in each sort were included. The result showed the rate of correctness that system could identify the symptom was 89.5% in average, and the average running time for a diagnosis was 900ms.

Design of Fuzzy Control Algorithm for Precious Irrigation System in Greenhouse

The precious irrigation is of great significance for arid and semiarid area. According to the special environment of greenhouse, a fuzzy control algorithm was proposed to make an optimal irrigation strategy based on the actual measured soil humidity during the whole plant growth process. The fuzzy control system had two inputs (soil humidity error and its rate) and one output (water level difference). In this paper, the fuzzy control algorithm was introduced in detail which included the setting of input and output, the selection of membership function and the setting of fuzzy rules. The fuzzy control system was meaningful to the smart water-saving irrigation in greenhouse.

Design and Development of Variable Rate Spraying System Based on Canopy Volume Measurement

Variable rate spraying technology can improve the pesticide utilization ratio, reduce the waste of pesticide, and canopy volume was a very important variable rate reference in orchard spraying, so a variable rate spraying system based on canopy volume measurement was presented and developed. The system was mainly made up of PC, ultrasonic sensor, single chip, flow control mechanism and nozzles. Ultrasonic sensors were used to measure the distances between sensors and canopy foliage. Data detected by sensors were sent to computer by single chip for further processing. Flow control mechanisms were used to adjust the flow rates of nozzles real-timely. Hardware and software design were introduced. Hardware design included hardware choice, connections and installation positions designs, and software design included flow chart design and system operation interfaces designs which were used to display the measurement results real-timely and vividly, and some spraying controls of the system could be completed in the system operation interfaces.

Analysis on the Factors Causing the Real-Time Image Blurry and Development of Methods for the Image Restoration

The blurred images will make image processing difficult and be hard to get high image solution for recognition, which will lower the precision of a variable rate spray system in pesticide application. In this paper, Radon transform in frequency domain is used in this work to test the blur angle and blur length in different tractors speeds and camera heights. Four image restoration methods in terms of the shape, color, texture and computing time were compared. The results showed that the speed of tractor and the height of camera played an important role on the blur extent of real-time image. A mathematical model corresponding blur angle and blur length with the speed of tractor and the height of camera is established, which would provide a theoretical basis for reducing blur and improving the quality of real-time image.