Artificial Intelligence in Forest Conservation
Rajesh Kumar Mishra1 and Rekha Agarwal2
1Information Technology Cell
ICFRE-Tropical Forest Research Institute
(Indian Council of Forestry Research & Education, Ministry of Environment,
Forests and Climate Change, Govt. of India)
P.O. RFRC, Mandla Road, Jabalpur (M.P.) - 482 021. India
E-mail: mishrark@icfre.org
2Department of Physics
Government Science College
Jabalpur, MP. 482001-India
Abstract
Artificial intelligence is a new science that deals with the automatic presentation, collection and use of information. Artificial intelligence programs attempt to imitate human thought processes such as reasoning, reasoning, language, and image recognition. Artificial intelligence aims to make computers more useful in reasoning, planning, acting, and interacting with humans. The development of AI applications involves the integration of advanced computer science, psychology, and sometimes robotics. Among the areas where artificial intelligence can be exploited, one of the most immediate concerns of forest management concerns expert systems. Expert systems typically involve encoding information from an expert on a particular subject and using that information to mimic their decision-making process. Information is often presented as facts and rules accompanied by symbols, such as English words. At the heart of these systems is a mechanism that automatically finds and groups the facts and rules needed to solve a given problem. Small expert systems can be developed for standard microcomputers using existing, inexpensive commercial expert shells. Shells are generic expert systems with no information. Users simply need to define the structure of the solution and add the desired information. Larger systems often require integration with existing forest models and databases. Their development requires relatively expensive expert systems development tools or the use of artificial intelligence development languages. Large systems are expensive to develop, require advanced IT skills, and can require years of testing and modifications before they work.
Keywords: Artificial intelligence, forest conservation, degradation
