Journal Article

Laser Weeding With Small Autonomous Vehicles: Friends or Foes?

Scholle, Karsten, Saberi, Mahin, Andreasen, Christian

2022

Overview

Weed control is necessary to ensure a high crop yield with good quality. Herbicide application and mechanical weeding are the most common methods worldwide. The use of herbicides has led to the increasing occurrence of herbicide-resistant weeds and unwanted contamination of the environment. Mechanical weed control harms beneficial organisms, increases the degradation of organic matter, may dry out the soil, and stimulate new cohorts of weed seeds to germinate. Therefore, there is a need to develop more sustainable weed control means. We suggest using small autonomous vehicles equipped with lasers as a sustainable alternative method. Laser beams are based on electricity, which can be produced from non-fossil fuels. Deep learning methods can be used to locate and identify weed and crop plants for targeting and delivery of laser energy with robotic actuators. Given the targeted nature of laser beams, the area exposed for weed control can be reduced substantially compared to commonly used weed control methods. Therefore, the risk of affecting non-target organisms is minimized, and the soil will be kept untouched in the field, avoiding triggering weed seeds to germinate. Small autonomous vehicles may have limited weeding capacity, and precautions need to be taken as reflections from the laser beam can be harmful to humans and animals. In this paper, we discuss the pros and cons of replacing or supplementing common used weed control methods with laser weeding. The ability to use laser weeding technology is relatively new and not yet widely practiced or commercially available. Therefore, we do not discuss and compare the costs of the various methods at this early stage of the development of the technology.

• Publisher: Frontiers Media SA,Frontiers Media S.A
• Subject: Actuators / agronomy / alternative weed control / Autonomous vehicles / Carbon dioxide / Control methods / Crop yield / Deep learning / Developmental stages / electricity / energy / Energy consumption / herbicide application / herbicide resistance / Herbicides / integrated weed management / Laser beams / Lasers / Light / mechanical weed control / non-chemical weed control / Nontarget organisms / Optics / Organic matter / Pesticides / Radiation / risk / Robots / Seeds / site-specific weed management / soil / thermal weed control / Vehicles / Weed control / weed killers / Weeds