Field Evaluation of a Citrus Fruit Pick-up Machine
نویسندگان
چکیده
reflect the official position of the American Society of Agricultural and Biological Engineers (ASABE), and its printing and distribution does not constitute an endorsement of views which may be expressed. Technical presentations are not subject to the formal peer review process by ASABE editorial committees; therefore, they are not to be presented as refereed publications. Citation of this work should state that it is from an ASABE meeting paper. EXAMPLE: Author's Last Name, Initials. 2006. Title of Presentation. ASABE Paper No. 06xxxx. St. Joseph, Mich.: ASABE. For information about securing permission to reprint or reproduce a technical presentation, please contact ASABE at [email protected] or 269-429-0300 (2950 Niles Road, St. Joseph, MI 49085-9659 USA). An ASABE Meeting Presentation
منابع مشابه
A Continuous Plane Model to Machine Layout Problems Considering Pick-Up and Drop-Off Points: An Evolutionary Algorithm
One of the well-known evolutionary algorithms inspired by biological evolution is genetic algorithm (GA) that is employed as a robust and global optimization tool to search for the best or near-optimal solution with the search space. In this paper, this algorithm is used to solve unequalsized machines (or intra-cell) layout problems considering pick-up and drop-off (input/output) points. Such p...
متن کاملDetecting and counting citrus fruit on the ground using machine vision
A machine vision system for estimating number of citrus fruit drop was developed in this study. The objectives of this study were to design rugged hardware, to develop an image processing algorithm for accurate estimation of fruit count and to conduct field experiments. Image acquisition hardware was developed to be used in a commercial citrus grove specifically for unfavorable imaging conditio...
متن کاملDesign, Development and Evaluation of an Orange Sorter Based on Machine Vision and Artificial Neural Network Techniques
ABSTRACT- The high production of orange fruit in Iran calls for quality sorting of this product as a requirement for entering global markets. This study was devoted to the development of an automatic fruit sorter based on size. The hardware consisted of two units. An image acquisition apparatus equipped with a camera, a robotic arm and controller circuits. The second unit consisted of a robotic...
متن کاملMachine vision system for early yield estimation of citrus in a site-specific manner
Abstract. Detecting immature green citrus at an early stage for yield forecasting can help growers expect how many fruit they can harvest at the end of the year. Also, it can provide an in-field spatial variability of fruit that can be used for providing site-specific management of citrus trees to increase yield and profit. Yield forecasting using the machine vision technology has been a promis...
متن کاملColor Vision System for Estimating Citrus Yield in Real-time
A machine vision system utilizing color vision was investigated as a means to identify citrus fruits and to estimate yield information of the citrus grove in real-time. Images were acquired for 98 citrus trees in a commercial grove located near Orlando, Florida. The trees were distributed over 48 plots evenly. Images were taken in stationary mode using a machine vision system consisting of a co...
متن کامل