Vol. 8, Issue 8, Part N (2024)

Transforming agriculture with artificial intelligence: Methods, applications and limitations for diagnosing plant diseases

Author(s):

R Wongamthing, Chandana HS, Akash Yadav, Divyanivedita Pradhan, Umesh Thapa, Anjali Verma, Yumkhaibam Sonia Shahni, Preetilagna Dhal and PT Sharavanan

Abstract:
The importance of accelerating the understanding of biology and ecology is widely recognized. Agricultural systems are of special importance due to their role in providing food, fiber, and energy, and it is believed that their strategic importance has increased and will continue to increase. The use of artificial intelligence in agricultural systems is also not new. For example, the agriculture industry has been known to use expert systems in production since the 1990s. Since then, we have seen a series of works that propose new uses for this technique. But even with this breeding of new techniques and their applications, there are still an extensive number of open opportunities and big questions yet to be easily answered using artificial intelligence. This paper directly addresses several of these questions, focusing on plant health management and considering each of the questions addressed as distinct works.

Pages: 1098-1105  |  298 Views  122 Downloads

How to cite this article:
R Wongamthing, Chandana HS, Akash Yadav, Divyanivedita Pradhan, Umesh Thapa, Anjali Verma, Yumkhaibam Sonia Shahni, Preetilagna Dhal and PT Sharavanan. Transforming agriculture with artificial intelligence: Methods, applications and limitations for diagnosing plant diseases. Int. J. Adv. Biochem. Res. 2024;8(8):1098-1105. DOI: 10.33545/26174693.2024.v8.i8n.1965