An algorithm for pulsed activation of solenoid valves for variable rate application of agricultural chemicals

Shahemabadi, Ali Rafiei; Moayed, Majid Javid

doi:10.1109/itsim.2008.4631863

Cited by 8 publications

(2 citation statements)

References 3 publications

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“…They thought that adaptive variable spray which applies the required amount of pesticides to the target objects by obtaining the parameters of the machine status, morphology, location of pests and diseases, crop density and area, can play a great significant role in cost saving and environmental pollution reduction. Shahemabadi et al [14] studied a variable spray control algorithm based on GPS speed change. They adjusted flow rate by changing the number of pulses per second and pulse width.…”

Section: Related Workmentioning

confidence: 99%

Vision-based adaptive variable rate spraying approach for unmanned aerial vehicles

Wang

Lan

Yue

et al. 2019

International Journal of Agricultural and Biological Engineering

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The rapid developments of unmanned aerial vehicles (UAV) and vision sensor are contributing a great reformation in precision agriculture. Farmers can fly their UAV spraying pesticides around their crop fields while staying at their remote control room or any place that is separated from their farm land. However, there is a common phenomenon in rice planting management stage that some empty areas are randomly located in farmland. Therefore, a critical problem is that the waste of pesticides that occurs when spraying pesticides over rice fields with empty areas by using the common UAV, because it is difficult to control the flow accuracy based on the empty areas changing. To tackle this problem, a novel vision-based spraying system was proposed that can identify empty areas automatically while spraying a precise amount of pesticides on the target regions. By this approach, the image was preprocessed with the Lucy-Richardson algorithm, then the target area was split from the background with k-means and the feature parameters were extracted, finally the feature parameters were filtered out with a positive contribution which would serve as the input parameters of the support vector machine (SVM) to identify the target area. Also a fuzzy control model was analyzed and exerted to compensate the nonlinearity and hysteresis of the variable rate spraying system. Experimental results proved that the approach was applicable to reducing the amount of pesticides during UAV spraying, which can provide a reference for precision agriculture aviation in the future.

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Section: Related Workmentioning

confidence: 99%

Vision-based adaptive variable rate spraying approach for unmanned aerial vehicles

Wang

Lan

Yue

et al. 2019

International Journal of Agricultural and Biological Engineering

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show abstract

“…However, for the low volume spray of plant protection UAV, the droplet size and the effect of spraying operation will be affected by the pressure. Shahemabadi and Moayed [11] proposed an algorithm to improve the Pulse width modulation (PWM) algorithm. By controlling the rising or falling state of the valve opening corresponding to the high and low pulse levels, an adjustment range of the flow rate from 0% to 100% can be realized according to the adjustment precision of 2.5%.…”

Section: Introductionmentioning

confidence: 99%

Design and Experiment of a Variable Spray System for Unmanned Aerial Vehicles Based on PID and PWM Control

et al. 2018

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Unmanned aerial vehicle (UAV) variable-rate spraying technology, as the development direction of aviation for plant protection in the future, has been developed rapidly in recent years. In the actual agricultural production, the severity of plant diseases and insect pests varies in different locations. In order to reduce the waste of pesticides, pesticides should be applied according to the severity of pests, insects and weeds. On the basis of explaining the plant diseases and insect pests map in the target area, a pulse width modulation variable spray system is designed. Moreover, the STMicroelectronics-32 (STM32) chip is invoked as the core of the control system. The system combines with sensor technology to get the prescription value through real-time interpretation of prescription diagram in operation. Then, a pulse square wave with variable duty cycles is generated to adjust the flow rate. A closed-loop Proportional-Integral-Derivative (PID) control algorithm is used to shorten the time of system reaching steady state. The results indicate that the deviation between volume and target traffic is stable, which is within 2.16%. When the duty cycle of the square wave is within the range of 40% to 100%, the flow range of the single nozzle varies from 0.16 L/min to 0.54 L/min. Variable spray operation under different spray requirements is achieved. The outdoor tests of variable spray system show that the variable spray system can adjust the flow rapidly according to the prescription value set in the prescription map. The proportion of actual droplet deposition and deposition density in the operation unit is consistent with the prescription value, which proves the effectiveness of the designed variable spray system.

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Development and experiment of soil disinfection injection system

Shuai

Wang

Zou

et al. 2015

2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)

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An algorithm for pulsed activation of solenoid valves for variable rate application of agricultural chemicals

Cited by 8 publications

References 3 publications

Vision-based adaptive variable rate spraying approach for unmanned aerial vehicles

Vision-based adaptive variable rate spraying approach for unmanned aerial vehicles

Design and Experiment of a Variable Spray System for Unmanned Aerial Vehicles Based on PID and PWM Control

Development and experiment of soil disinfection injection system

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