Applications of deep learning in precision weed management: A review

Deep Learning (DL) has been described as one of the key subfields of Artificial Intelligence (AI) that is transforming weed detection for site-specific weed management (SSWM). In the last demi-decade, DL techniques have been integrated with ground as well as aerial-based technologies to identify weeds in still image context and real-time setting. After observing the current research trend in DL-based weed detection, techniques are advancing by assisting precision weeding technologies to make smart decisions. Therefore, the objective of this paper was to present a systematic review study that involves DL-based weed detection techniques and technologies available for SSWM. To accomplish this study, a…

• UD
  U.S. Department of Agriculture
• NI
  National Institute of Food and Agriculture

  Award: ND01487
• AR
  Agricultural Research Service

  Award: 58-6064-8-023