The status and prospects of smart forestry

doi:10.12302/j.issn.1000-2006.202209052

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (6): 83-95.doi: 10.12302/j.issn.1000-2006.202209052

Special Issue: 南京林业大学120周年校庆特刊

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The status and prospects of smart forestry

CAO Lin(), ZHOU Kai, SHEN Xin, YANG Xiaoming, CAO Fuliang, WANG Guibin()

Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China

Received:2022-09-23 Revised:2022-10-18 Online:2022-11-30 Published:2022-11-24
Contact: WANG Guibin E-mail:lincao@njfu.edu.cn;glwang@njfu.edu.cn

Abstract

Abstract:

Information technology is an important driving force for the development of human civilization, and it is also one of the fastest growing and most influential high-techs in the world today. With the wide application of modern information technology in the field of forestry, smart forestry has become the route one must take for the development of modern forestry. Smart forestry is the deep integration of new generation information technologies such as Internet of Things, big data, cloud computing, artificial intelligence, mobile Internet and 3S technology, intelligent equipment as well as forestry production and management businesses such as and forest breeding, forest cultivation, forest management and forest protection. The development of smart forestry in China is a milestone in the development of modern forestry. The author introduces the background, connotation, characteristics, theoretical basis and research methods of smart forestry, as well as top-level design, project deployment and implementation, scientific research platform construction and talent training for smart forestry development; the research status of key core technologies of intelligent forestry, such as forestry intelligent perception, spatial information technology, big data and cloud computing, virtual reality and intelligent equipment technology, are systematically introduced. The application progress of smart forestry in forest tree genetics and breeding, forest precision silviculture, forest resource monitoring and management decision-making, forest fire monitoring and prediction, pest control, and wildlife protection were further introduced. Finally, the development goals of smart forestry in the future are pointed out, and the main development directions of smart forestry technology system are prospected. The author believes that the development of smart forestry needs to further promote the research, development and application of intelligent algorithms and hardware, as well as to strengthen the research of its theoretical basis. At the same time, it is also necessary to integrate modern data mining, model simulation and intelligent analysis technologies into the forestry production business process on the basis of obtaining accurate multi-source data, to provide services for the whole industry chain of forestry production and lead the high-quality development of forestry.

Key words: smart forestry, forestry informatization, artificial intelligence, phenotyping of forest trees, forest silviculture and monitoring, forest management decision, forest protection and disaster prevention

CLC Number:

CAO Lin, ZHOU Kai, SHEN Xin, YANG Xiaoming, CAO Fuliang, WANG Guibin. The status and prospects of smart forestry[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2022, 46(6): 83-95.

Figures/Tables 2

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The status and prospects of smart forestry

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