Cultivating change: A review of progressive technologies in weed detection and management

Abstract

Weed infestation poses a critical challenge to sustainable agriculture, leading to significant crop yield losses and escalating the use of chemical herbicides, which contribute to environmental degradation and health risks. One of the most pressing issues in weed management is the declining effectiveness of traditional weed control methods, which struggle to keep pace with the growing global food demands and the challenges posed by an anticipated population of 10 billion by 2050. The focus is on Precision Weed Management (PWM), emphasizing cutting-edge technologies such as computer vision, Unmanned Aerial Vehicles (UAVs), GPS-controlled patch spraying, laser treatments, and autonomous weeding robots. Computer vision, employing image processing and deep learning, emerges as a key player in automated weed detection, challenging traditional herbicide methods. UAVs equipped with advanced sensors facilitate high-resolution weed mapping, allowing for timely interventions. Laser and thermal treatments showcase targeted and efficient weed control, while autonomous weeding robots exemplify a hands-free, precise approach. The integration of these technologies not only promises enhanced productivity but also signifies a sustainable and environmentally conscious shift in global agriculture. The article highlights the limitations of traditional weed control methods and underscores the potential of emerging technologies to revolutionize weed management, offering precise, cost-effective, and environmentally friendly solutions.

Keywords

• Automation
• Intervention
• Precision
• Resilience