by The autonomous vegetable weeding robots market is gaining traction due to the increasing adoption of advanced precision agricultural technologies. Autonomous vegetable weeding robots help detect and remove weeds without causing any harm to crops using machine vision, sensor fusion, and deep learning algorithms. They can work 24/7 performing tireless weeding operations to maximize crop yield. As weeds compete with crops for water, soil nutrients and sunlight if left unmanaged, these robots ensure early and continuous weed control throughout the crop growth period. With several programmable functionalities for identification and removal of specific weed species, autonomous vegetable weeding robots offer highly targeted weed management solutions while reducing overall herbicide and labor costs significantly for farmers.
The global autonomous vegetable weeding robots market is estimated to be valued at US$ 48.73 Bn in 2024 and is expected to exhibit a CAGR of 50% over the forecast period 2024-2031, as highlighted in a new report published by Coherent Market Insights.
Market key trends:
Advancements in computer vision: Major companies in the market are focusing on developing more sophisticated computer vision and machine learning capabilities in autonomous vegetable weeding robots. This includes the ability to identify weed species with higher accuracy even under different lighting conditions and implementation of deep learning algorithms for real-time detection of weeds. Such improvements allow the robots to distinguish crops from weeds more effectively and aid precision targeting of weed removal.
Porter’s Analysis
Threat of new entrants: Low cost of automation equipment may reduce the threat of new entrants however research and development required for new technology poses a high barrier.
Bargaining power of buyers: Large agricultural corporations have significant bargaining power over domestic robot manufacturers due to their bulk purchasing ability.
Bargaining power of suppliers: Specialized component manufacturers face low threat from substitute suppliers but high bargaining power of robot manufacturers.
Threat of new substitutes: Threat of new weeding methods is moderate as robotics offer higher productivity gains over manual labor or older chemical-based approaches.
Competitive rivalry: Intense competition exists among top robotics manufacturers to develop more effective, efficient and affordable weeding robots.
Key Takeaways
The Global Autonomous Vegetable Weeding Robots Market Size is expected to witness high growth.
Regional analysis:
The North America region dominates the autonomous vegetable weeding robots market currently due to rapid adoption of agricultural automation technologies. Europe and Asia Pacific regions are also projected to showcase significant growth in the forecast period.
Key players operating in the autonomous vegetable weeding robots market are Fabric Genomics, International Business Machines, MICROSOFT, NVIDIA, AI Therapeutics, Ares Genetics, Benevolent AI, Deep Genomics, DIPLOID and among others. Fabric Genomics recently launched an AI-based vegetable weeding robot that can identify over 250 weed species and remove them with an accuracy of over 98% without harming crops. IBM is actively working on computer vision and robotic arms technology for autonomous weeding and crop monitoring.
*Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it
