Agricultural pests and diseases cause high input costs. Today, the direct economic cost caused by the occurrence of pests and diseases is about 20% of the total cost of agricultural production. Traditional agricultural pest monitoring and control have been difficult to meet the current time, space, and cost needs. The use of computer software and hardware technology to build intelligent monitoring and early warning system for orchard diseases and insect pests not only meets the higher-level needs of a timely, accurate, and comprehensive collection of disease and insect pest occurrence data but also improves the construction of the overall system for disease and insect pest monitoring and early warning.
Future agriculture will introduce advanced technologies such as robots, smart sensors, aerial imagery, and computer vision technology. This advanced equipment, precision agriculture, and robotic systems will make pest control more profitable, efficient, safe, and precise.
The main aims of this Research Topic are to present the current state of the art in advanced technologies in pest and disease control and monitoring: Technology, method and its application, and to illustrate new results in several emerging research areas. Submissions can present theoretical and experimental aspects in these areas.
Potential topics may include, but are not limited to, the following:
• Image recognition technology of insect pests and diseases
• identification and quantitative extraction of large-scale pests
• Integrated prediction technology for large-scale pests
• Pests monitoring equipment: high altitude radar, low altitude UAV, ground camera
• Large-scale pests control
Agricultural pests and diseases cause high input costs. Today, the direct economic cost caused by the occurrence of pests and diseases is about 20% of the total cost of agricultural production. Traditional agricultural pest monitoring and control have been difficult to meet the current time, space, and cost needs. The use of computer software and hardware technology to build intelligent monitoring and early warning system for orchard diseases and insect pests not only meets the higher-level needs of a timely, accurate, and comprehensive collection of disease and insect pest occurrence data but also improves the construction of the overall system for disease and insect pest monitoring and early warning.
Future agriculture will introduce advanced technologies such as robots, smart sensors, aerial imagery, and computer vision technology. This advanced equipment, precision agriculture, and robotic systems will make pest control more profitable, efficient, safe, and precise.
The main aims of this Research Topic are to present the current state of the art in advanced technologies in pest and disease control and monitoring: Technology, method and its application, and to illustrate new results in several emerging research areas. Submissions can present theoretical and experimental aspects in these areas.
Potential topics may include, but are not limited to, the following:
• Image recognition technology of insect pests and diseases
• identification and quantitative extraction of large-scale pests
• Integrated prediction technology for large-scale pests
• Pests monitoring equipment: high altitude radar, low altitude UAV, ground camera
• Large-scale pests control