row detection and soil color for agricultural robot guidance

Post on 17-Feb-2017

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Soil Color DetectionFor Autonomous Agriculture Robot

Motivation

Row Detection

Variable field-of-view machine vision based row guidance of an agricultural

robot

Single Row

They are not mention about specific color segmentation binarization and delineation. Morphological Opening to denoise.

Good for Mobile robot running in inner space.

Machine Vision-based Guidance System for Agricultural Grain Harvesters using

Cut-edge Detection

Single Row

Detect shadow by histogram and adaptive to light condition then use edge detection on histogram.

Good for Harvest Indestry running over the plant.

A vision based row detection system for sugar beet

Multi Rows

Enhance contrast and convert to 2g-r-b color space gray scale. Use Hough Transform to delineation. Fixed segmentation on image applied.

Good for Mobile robot running over the plant.

Vision-Based Row Detection Algorithms Evaluation for Weeding Cultivator

Guidance in Lentil

Single Row

Enhance contrast and convert to 2g-r-b color space gray scale.

Apply binarized(Otsu) image to Hough Transform and Sobel Edge Detection.

Apply Gray scale image to Center of Gravity.

Good for Mobile Robot running over plant

Automatic segmentation of relevant textures in agricultural images

Multi Rows

Focus on image thresholding based on three color component of agricultural images

Good for any kind of agricultural robot.

MULTI-CROP-ROW DETECTION BASED ON STRI ANALYSIS

Multi Rows

Enhance contrast and convert to 2g-r-b color space mean gray scale.

Close Operation to smooth boundary and fill hole.

Good for Drone and Mobile robon running over plant.

An Efficient Crop Row Detection Method for Agriculture Robots

Multi Rows

Only otsu binarization is specific but apply efficient corp row detection with out Hough Transform, Edging, Center point.

Good for harvest industry and drone running over plant

My IDEA

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