This comprehensive review examines the applications of LiDAR technology in precision agriculture, focusing on its role in crop cultivation and harvesting. The introduction highlights the need for effective agricultural management and the growing significance of LiDAR technology. The paper discusses the advantages of LiDAR in increasing productivity, optimizing resource utilization, managing crop diseases and pesticides, and reducing environmental impact. It covers the different types of LiDAR systems, including airborne, terrestrial, and mobile systems, and their specialized applications in precision agriculture. The review then delves into the various uses of LiDAR in agricultural cultivation, such as crop growth and yield estimation, disease detection, weed control, and plant health evaluation. It also explores the use of LiDAR for soil analysis and management, including soil mapping, categorization, and measurement of moisture content and nutrient levels. Additionally, the article examines how LiDAR is used for harvesting crops, including autonomous harvesting systems, post-harvest quality evaluation, and prediction of crop maturity and yield. The paper concludes by discussing future perspectives, emerging trends, and innovative developments in LiDAR technology for precision agriculture, along with critical challenges and research gaps. The review aims to provide valuable insights for academics, practitioners, and stakeholders interested in using LiDAR for effective and environmentally friendly crop management, contributing to the development of precision agricultural methods.This comprehensive review examines the applications of LiDAR technology in precision agriculture, focusing on its role in crop cultivation and harvesting. The introduction highlights the need for effective agricultural management and the growing significance of LiDAR technology. The paper discusses the advantages of LiDAR in increasing productivity, optimizing resource utilization, managing crop diseases and pesticides, and reducing environmental impact. It covers the different types of LiDAR systems, including airborne, terrestrial, and mobile systems, and their specialized applications in precision agriculture. The review then delves into the various uses of LiDAR in agricultural cultivation, such as crop growth and yield estimation, disease detection, weed control, and plant health evaluation. It also explores the use of LiDAR for soil analysis and management, including soil mapping, categorization, and measurement of moisture content and nutrient levels. Additionally, the article examines how LiDAR is used for harvesting crops, including autonomous harvesting systems, post-harvest quality evaluation, and prediction of crop maturity and yield. The paper concludes by discussing future perspectives, emerging trends, and innovative developments in LiDAR technology for precision agriculture, along with critical challenges and research gaps. The review aims to provide valuable insights for academics, practitioners, and stakeholders interested in using LiDAR for effective and environmentally friendly crop management, contributing to the development of precision agricultural methods.