Abstract:

The trees, as the skeleton of the terrestrial forest ecosystem, suffer from the stresses of forest pests for a long time, which endangers the normal growth of trees, even causes the death of trees, and poses a serious threat to the sustainable development of forestry. It is necessary to recognize and obtain the features of forest pests for realizing the rapid and accurate targets detection and monitoring of forest pests and pest damaged areas. This paper focuses on the analyses of the main features of direct targets of the biological stresses, such as plant diseases, plant insects, rats and rabbits, harmful plants etc. and indirect targets, and summarizes and reviews the research status of techniques and equipments for recognizing and identifying targets for forest pests control through different ways at home and abroad. It is recommended to establish interdisciplinary forces to constantly explore and study the target recognition technology and equipment for forest pest control and integrated control intelligent systems based on the early warning with the target recognition of the plant stresses and the cooperative defense control with the sensor network. This paper looks forward to the future development of passive/active sensing technologies focusing on target identification of forest pests control, and proposes to conduct research on the passive sensing technologies of control targets, including the machine vision, the odor-sensitive, the force-sensitive, the thermal-sensitive and the acoustic-sensitive according to the physical and chemical characteristics of forest plants under biological stresses. The active sensing technologies, such as LiDAR scanning, the photoacoustic effect active attraction and the electronic insects and odoriferous active attraction, would be applied to sense some specific pest targets which the passive sensing technologies are difficult to sense. It is also proposed that the design and development of new sensors such as the biology, the magnetic-sensitive, the humidity-sensitive and the thermal-sensitive sensors, and the multi-sensor fusion technologies for ultrasound, LiDAR, radiation and satellite images, so as to improve the accuracy of forest pest targets recognition. Finally, the paper proposes corresponding research recommendations for target perception and recognition technology around specific targets such as plant roots, wild mammals, terrestrial termites, and harmful plants.

Key words: forest pests, plant protection, targets recognition technology, research prospects