Machine Vision-Based High-resolution Weed Mapping And Patch-Sprayer Performance Simulation
نویسندگان
چکیده
An experimental machine vision-based patch-sprayer was developed. This sprayer was primarily designed to do real-time weed density estimation and variable herbicide application rate control. However, the sprayer also had the capability to do high-resolution weed mapping if proper mapping techniques being integrated. Two weed mapping methods were developed. One is GPS signal-based off-line weed mapping; another one is radar distance measurement-based on-line weed mapping. The high-resolution weed maps provided evidence to further support the patch-spraying concept. Randomly sampled field images were processed with different nozzle control zone sizes and thresholding methods to simulate sprayer performance. Fundamental system design strategies regarding these two factors were obtained through simulation. System design techniques, including system constructions, weed sensing and crop-row detection algorithms were reported.
منابع مشابه
Development and Evaluation of a Real Time Site-Specific Inter-Row Weed Management System
ABSTRACT- A real-time, site-specific, machine-vision based, inter-row patch herbicide application system was developed and evaluated. The image resolution was 640 × 480 pixels covering a total area of 350 mm x 240 mm of a field composed of four quadrants of 350 mm x 60 mm each. The image frames were processed by LabView® and MatLab®. The developed algorithm, based on weed coverage ratio and seg...
متن کاملDevelopment of a machine vision system for a real time precision sprayer
In the context of precision agriculture, we have developed a machine vision system for a real time precision sprayer. From a monochrome CCD camera located in front of the tractor, the discrimination between crop and weeds is obtained with image processing based on spatial information using a Gabor filter.This method allows to detect the periodic signals from the non-periodic ones, and enables u...
متن کاملSensor-based Precision Herbicide Application System
The smart sprayer, a local-vision-sensor-based precision chemical application system, was developed and tested. The long-term objectives of this project were to develop new technologies to estimate weed density and size in real-time, realize site-specific weed control, and effectively reduce the amount of herbicide applied to major crop fields. This research integrated a real-time machine visio...
متن کاملDistance-based control system for machine vision-based selective spraying
For effective operation of a selective sprayer with real–time local weed sensing, herbicides must be delivered accurately to weed targets in the field. With a machine vision–based selective spraying system, acquiring sequential images and switching nozzles on and off at the correct locations are critical. An MS Windows–based imaging system was interfaced with a real–time embedded selective spra...
متن کاملMachine Vision System for Automatic Weeding Strategy using Image Processing Technique
The most widely used method for weed control is to use agricultural chemicals (herbicides products). This heavy reliance on chemicals raises many environmental and economic concerns, causing many plantation companies to seek alternatives for weed control in order to reduce chemical usage in their plantation. Since manual labor is costly and expensive, an automated weed control system may be eco...
متن کامل