Applications of Artificial Intelligence in Pest Management

Hanif, Muhammad Kashif; Khan, Shouket Zaman; Bibi, Maria

doi:10.1201/9781003311782-13

Cited by 6 publications

(3 citation statements)

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“…Ultimately, their computer vision model successfully detected bees, flies, mosquitoes, moths, chafers, and fruit flies with a precision of 90.18% and accurately counted them with a precision of 92.5%. V7 is an AI Data Platform that integrates automated annotation with dataset management, picture annotation, and video annotation (Khan, 2022).…”

Section: Referencesmentioning

confidence: 99%

“…The ability to identify target spraying locations in real-time allows UAV sprayers to function with exceptional precision, both in terms of the area to be sprayed and the volume to be sprayed. This effectively lowers the chance of contaminating water supplies, land, people, and animals and aids in insect pest control (Khan, 2022). Drone operational characteristics such as flight speed, flight height, nozzle type, payload, and drone type are tailored for the particular situation in order to increase the efficacy of insecticidal application in crops.…”

Section: Referencesmentioning

confidence: 99%

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Bioefficacy of Steinernema abbasi and Heterorhabditis indica against white grubs (Holotrichia consanguinea) in groundnut of Rajasthan, India

Sajwan

2024

Insect Envt

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White grub (Holotrichia consanguinea) is a significant pest that causes damage to all the kharif crops, especially groundnut (Arachis hypogaea L.) in Rajasthan’s semi-arid region. The bioefficacy of entomopathogenic nematodes, Steinernema abbasi (Steinernematidae) and Heterorhabditis indica (Heterorhabditidae) was carried out in both invitro and invivo conditions at Rajasthan Agricultural Research Institute (RARI) Durgapura, Jaipur. Bioefficacy of H. indica against white grub revealed that the grub mortality reached up to 64% at a higher concentration of 250 IJs/ml and the plant mortality in field conditions reduced up to 28% at 250 IJs/ml. Heterorhabditis indica outperformed Steinernema abbasi in terms of white grub infectivity. Keywords: Groundnut, White grub, Holotrichia consanguinea, Entomopathogenic nematodes, Steinernema abbasi, Heterorhabditis indica

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Section: Referencesmentioning

confidence: 99%

Section: Referencesmentioning

confidence: 99%

Bioefficacy of Steinernema abbasi and Heterorhabditis indica against white grubs (Holotrichia consanguinea) in groundnut of Rajasthan, India

Sajwan

2024

Insect Envt

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“…The ANI is frequently used in different applications, the AGI and the ASI are still subjects of research. Another categorization of the AI into four classes is based on its functionality (see Table 1) [4,5].…”

Section: Data Predictionmentioning

confidence: 99%

The General Approach of Sensor Network

Havlíček¹,

Koval²,

Tesař³

2022

Proceedings of the First International IMEKO TC6 Conference on Metrology and Digital Transformation - M4Dconf2022

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The Sensor Network (SN) [1] has become already a well-established concept widely used in many areas of industry such as automotive, mechanical engineering, food industry and energy supply, health care, etc. Rapid development of new technologies has brought novel approaches and implementation of new technologies such as Artificial Intelligence (AI), Cloud Computing, Big Data storage, management, etc. Current trends focus predominantly on monitoring and optimization of processes in order to increase effectiveness and reliability which can be effectively reached only with the help of sensor networks. This article focuses on the general sensor network structure, chances and pitfalls which are related to their use.

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