Multispectral aerial image processing system for precision agriculture

Multispectral Imaging, Image-processing and Classification for Agriculture

The prevention and control of weed infestation is a matter of importance in the agricultural domain. American farmers alone annually spend $4 billion to protect $16 billion in crops. This work moves in this direction and aims to classify weeds from crops and then spray the weeds in real-time. Another aim is to find the correlation coefficient between the nitrogen treatment levels of the crops a...

Aerial Coverage Optimization in Precision Agriculture

8 The coverage path planning (CPP) problem, is a problem belonging to a subfield of motion planning where the goal is to compute a complete coverage trajectory from initial to final position, within the robot workspace subjected to a set of restrictions. This problem has a complexity NP-complete, and has no general solution. Moreover, there are very few studies addressing this problem applied t...

A Toolbox for Aerial Image Acquisition and its Application to Precision Agriculture *

Precision farming has increasingly focused on lowering production costs. Remote sensing techniques, mainly aerial imagery in the visible and infrared bands, have been employed to achieve this goal. The GPS (Global Positioning System) system allows easy geo-referencing of these images, making it possible to produce maps showing problems in the crop that can be easily located and corrected. The m...

Adaptive Multispectral Image Processing for the Detection

Multispectral imaging and image processing

The color accuracy of conventional RGB cameras is not sufficient for many color-critical applications. One of these applications, namely the measurement of color defects in yarns, is why Prof. Til Aach and the Institute of Image Processing and Computer Vision (RWTH Aachen University, Germany) started off with multispectral imaging. The first acquisition device was a camera using a monochrome se...