PRE2022 3 Group11
| Name | Student number | Study |
|---|---|---|
| Vietlinh Pham | 1616420 | Industrial Engineering |
| Lars Nobbe | ||
| Wilbur van Lierop | ||
| Paul van Geest | ||
| Aloysia Prakso | Industrial Design | |
| Maurtiius van Maurik | 1600426 | Automotive Technology |
Problem Statement and Objectives
Who are the users
What do they require
Approach, milestones and deliverables
Task Division
SotA: Literature study
Mau:
1.
Article: http://27.109.7.66:8080/xmlui/handle/123456789/682
Summary:
The article highlights the efforts being made to automate the labor-intensive agriculture industry through the use of robots and machines. A vision-based row guidance method is proposed for autonomous farming robots to navigate through row crops in a field, using machine vision to detect the offset and heading angle in real-time. The robot platform is designed with an open architecture and a control scheme for row guidance. The focus of the robot is to monitor the health of the plants by observing their leaf color and height, as well as the surrounding environmental conditions such as temperature, moisture, and humidity. The information collected is then used to determine the health of the plant, which is displayed on an LCD screen.
2.
Article: https://ieeexplore.ieee.org/abstract/document/9080736
Summary:
This paper discusses the how wireless sensor network can be used to detect weeds. However, when a lot of static sensors are present the project becomes expensive and chaotic. Therefore the researches decided to make use of autonomous bots which are equipped with ultrasonic sensors and cameras that can detect weeds. The camera input is then processed using a neural network and image segmentation. Once weeds were detected, herbicides were sprayed on them using solenoid valves.
3.
Article: https://link.springer.com/chapter/10.1007/978-90-481-9277-9_20#Abs1
The text discusses the demand for advances in automation in agriculture, horticulture, and forestry due to high labor costs. The focus is on the potential of robotic outdoor systems to increase efficiency and make operations economically viable. The chapter provides examples of autonomous crop protection operations that are likely to be commercially available in the near future. These operations, such as scouting and monitoring, can be automated for increased efficiency, but current systems still have drawbacks, including a lack of robust and safe behaviors. The use of high-precision targeting based on individual weed plant detections holds the potential to greatly reduce the use of resources, such as herbicides.
4.
Article:
5.