Claim Missing Document
Check
Articles

Found 12 Documents
Search

Artificial Intelligence dalam Pengendalian Hama dan Penyakit Tanaman Herlinda, Siti; Nursalim, Yossi Aprian; Anggraini, Erise; Athalina, Ghita
Seminar Nasional Lahan Suboptimal Vol 12, No 1 (2024): Vol 12, No 1 (2024): Prosiding Seminar Nasional Lahan Suboptimal ke-12 “Revital
Publisher : Pusat Unggulan Riset Pengembangan Lahan Suboptimal (PUR-PLSO) Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Herlinda, S., Nursalim, Y.A.,  Anggraini, E., &Athalina, G. (2024). Artificial intelligence in pest and disease management. In: Herlinda S et al. (Eds.), Prosiding Seminar Nasional Lahan Suboptimal ke-12 Tahun 2024, Palembang  21 Oktober 2024. (pp. 27–47).  Palembang: Penerbit & Percetakan Universitas Sriwijaya (UNSRI).The article reviews the developments of artificial intelligence (AI) in the control of pests and diseases in agriculture.  Artificial intelligence refers to the ability of digital computers or computer-controlled robots to do activities typically associated with human intelligence by emulating cognitive functions. At present, artificial intelligence is employed across various sectors, including healthcare, education, and agriculture. In agriculture, AI has been used as a mechanism for pest and disease management in plants. AI offers advantages due to its labor-saving efficiency, targeted effectiveness, and sustainability, as it ensures safety for users, the environment, and the items manufactured.  Robots, in conjunction with sensors, satellites, and drones, can precisely detect symptoms and coloration of diseased plants and those infested by pests. This AI can precisely identify an appropriate methods to control plant pests and diseases. AI can facilitate routine processes in integrated pest management, such as monitoring ecosystems (biotic and abiotic factors) and determining the right timing and methods for control, thereby achieving sustainable pest management.
Endophytic Entomopathogenic Fungi Negatively Impact on Growth and Development of Spodoptera frugiperda J.E. Smith (Lepidoptera: Noctuidae) Herlinda, Siti; Milinia Puspita Sari, Jelly; Elfita; Suwandi, Suwandi; Anggraini, Erise; Hong Lau, Wei; Arrwais, Rhani; Irsan, Chandra; Hamidson, Harman; Hasyim, Hamzah; Verawaty, Marieska
HAYATI Journal of Biosciences Vol. 32 No. 6 (2025): November 2025
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.32.6.1564-1576

Abstract

An alternative method for controlling Spodoptera frugiperda applies entomopathogenic fungi (EPF). The present research aimed to determine the impact of the endophytic EPF  on the growth and development of S. frugiperda. Twenty molecularly identified isolates of the endophytic EPF were used in seed treatments with the fungal suspension 1 × 1010 conidia.mL-1. The endophytic EPF that colonized corn leaves eaten by the neonate S. frugiperda larvae was able to significantly decrease the body weight of the larvae and pupae. The endophytic EPF could prolong the developmental time of all instar larvae and pupae.  The endophytic EPF could raise larval and pupal mortality and reduce the ability of adults to emerge from pupae,  and decrease egg laying by females.  The lowest percentage of adult emergence was observed in the adults from larvae consuming corn leaves colonized with Beauveria bassiana JaGiP and JgSPK isolates, which were 34.67% and 24%, respectively. Consequently, a reduced adult emergence could lead to a high cumulative death rate of 76% from larvae to adults. Finally, the endophytic EPFs negatively affect S. frugiperda growth and development.  B. bassiana JaGiP and JgSPK isolates are the most pathogenic fungi in inhibiting the growth and development of S. frugiperda. They are promising candidates for controlling S. frugiperda in the corn field.