Role of Machine Learning and Deep Learning in Forest Management Through Data Analytics DOI

Ravish,

Anurag Ambroz Singh,

Anjali Raghav

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 247 - 272

Published: Nov. 29, 2024

Everyone must create a good framework to handle environmental, financial, and social issues if we are move towards sustainability. Many researchers have used artificial intelligence (AI) machine learning forward sustainable development goals by building highly efficient system that supports circular economy aligns the needs of current generation while safeguarding capacities future generations. Artificial has made significant progress in recent years, leading changes various industries including healthcare, transportation, agriculture, energy, media. This paper offers comprehensive analysis junction between sustainability together with several possible directions for next investigation.

Language: Английский

Prospects and Challenges of Artificial Intelligence in Forest Protection DOI
Laeeq Razzak Janjua,

Saquib Ahmed,

Bhupinder Singh

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 231 - 246

Published: Nov. 29, 2024

The protection of Earth's ecology and balancing rests heavily on forest preservation. Issues like trafficking wildlife, illegal logging, deforestation are still existing. Conventional methods monitoring techniques safety precautions have drawbacks inefficient to address these ecological problems. In the present era, Artificial Intelligence is advancing, it has given a fresh hope in preserving forest. chapter examines best possible use preservation concentrating certain situations wildlife conservation, logging surveillance prediction fire forests. intelligence (AI) technology makes available greater accuracy efficiency than conventional techniques, allowing for quicker detection reaction damage activities. AI will become more significant future because additional technical developments growth application areas, opening new avenues sustainable

Language: Английский

Citations

0

Role of Machine Learning and Deep Learning in Forest Management Through Data Analytics DOI

Ravish,

Anurag Ambroz Singh,

Anjali Raghav

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 247 - 272

Published: Nov. 29, 2024

Everyone must create a good framework to handle environmental, financial, and social issues if we are move towards sustainability. Many researchers have used artificial intelligence (AI) machine learning forward sustainable development goals by building highly efficient system that supports circular economy aligns the needs of current generation while safeguarding capacities future generations. Artificial has made significant progress in recent years, leading changes various industries including healthcare, transportation, agriculture, energy, media. This paper offers comprehensive analysis junction between sustainability together with several possible directions for next investigation.

Language: Английский

Citations

0