Fuzzy logic inference systems for discriminating plants from soil and residue with machine vision

机译：用机器视觉将植物与土壤和残留物区分开的模糊逻辑推理系统

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper summarizes the theory of fuzzy inference systems and its application to plant and weed detection. Two simple examples are presented, both of which discriminate between plants and soil and residue backgrounds in color images based on derived excess green and excess red color indices. The first example shows that a numerical excess red model can be readily replaced with a fuzzy inference system, based on training of red, green, and blue inputs and excess red. The second example shows an arbitrary system of fuzzy inference with excess red and excess green using human preselection, which also gives satisfactory discrimination results.

机译：本文总结了模糊推理系统的理论及其在植物和杂草检测中的应用。给出了两个简单的示例，这两个示例都基于派生的过量绿色和过量红色指数来区分彩色图像中的植物，土壤和残留背景。第一个示例显示，基于对红色，绿色和蓝色输入和过量红色的训练，可以用模糊推理系统轻松替换数字过量红色模型。第二个示例显示了一个使用人工预选的带有过量红色和过量绿色的模糊推理的任意系统，这也给出了令人满意的判别结果。

著录项

来源
《Conference on Biological Quality and Precision Agriculture II, Nov 6-8, 2000, Boston, USA》|2000年|p.111-121|共11页
会议地点 Boston MA(US)
作者
Timothy W. Hindman; George E. Meyer;
展开▼
作者单位

Department of Biological Systems Engineering University of Nebraska ― Lincoln Lincoln, NE 68583-0726;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类 S-;
关键词
image analysis; segmentation; plants; color; fuzzy logic;

机译：图像分析;分割;植物;颜色;模糊逻辑;

相似文献

外文文献
中文文献
专利

1. Modelling soil compaction of agricultural soils using fuzzy logic approach and adaptive neuro-fuzzy inference system (ANFIS) approaches [J] . Mohammadreza Abbaspour-Gilandeh, Yousef Abbaspour-Gilandeh Modeling Earth Systems and Environment . 2019,第1期

机译：采用模糊逻辑方法和自适应神经模糊推理系统（ANFIS）方法建模农业土壤土壤压实
2. On-line prediction of micro-turning multi-response variables by machine vision system using adaptive neuro-fuzzy inference system (ANFIS) [J] . S. Palani, U. Natarajan, M. Chellamalai Machine Vision and Applications . 2013,第1期

机译：机器视觉系统使用自适应神经模糊推理系统（ANFIS）在线预测微转多响应变量
3. On-line prediction of micro-turning multi-response variables by machine vision system using adaptive neuro-fuzzy inference system (ANFIS) [J] . S. Palani, U. Natarajan, M. Chellamalai Machine Vision and Applications . 2013,第1期

机译：机器视觉系统使用自适应神经模糊推理系统（ANFIS）在线预测微转多响应变量
4. Fuzzy logic inference systems for discriminating plants from soil and residue with machine vision [C] . Timothy W. Hindman, George E. Meyer Conference on biological quality and precision agriculture . 2000

机译：模糊逻辑推理系统，用于用机器视觉辨别植物的植物和残留物
5. A whole-plant bioassay system for the detection of residues of ALS/AHAS inhibiting herbicides in soils and determination of safe planting intervals for sensitive crops. [D] . McDonald, Ian Douglas. 2009

机译：一种用于检测土壤中ALS / AHAS抑制性除草剂残留并确定敏感作物安全种植间隔的全植物生物测定系统。
6. Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system [O] . Mangesh Phate, Aditya Bendale, Shraddha Toney, 2020

机译：应用自适应神经模糊推理系统Al / Cu / Ni合金电气放电加工过程中工具磨损率的预测与优化
7. A neuro-fuzzy inference system through integration of fuzzy logic and extreme learning machines [O] . Sun Z, Au KF, Choi TM 2007

机译：通过模糊逻辑和极限学习机集成的神经模糊推理系统
8. Radiotracer Studies of Bound Pesticide Residues in Soil, Plants and Food. Report of a Research CO-Ordination Meeting on Isotopic Tracer-Aided Studies of Unextractable or Bound Pesticide Residues in Soil, Plants and Food Organized [R] . Gazdzicki, M., Iovchev, K., Okonov, E., 1984

机译：土壤，植物和食物中结合农药残留的放射性示踪剂研究。关于土壤，植物和食物中不可萃取或结合的农药残留的同位素示踪剂辅助研究的研究协调会议的报告

Fuzzy logic inference systems for discriminating plants from soil and residue with machine vision

摘要

著录项

相似文献

相关主题

期刊订阅