A field observation study of an expert system prototype development

Hershauer, James C.; Karim, Abdul Hamid Abdul; Owens, Harold; Philippakis, Andreas S.

doi:10.1016/0378-7206(89)90012-8

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…The articles were grouped according to identification into one or more categories, including Machine Learning, Evolutionary Computing, Internet of Things, Optimization, Natural Language Processing, Robotics, Remote Sensing, and Expert Systems. (1) Hershauer et al (1989) Development of a prototype expert distribution system for irrigation.…”

Section: Scientific Papers Related To the Ia Fieldmentioning

confidence: 99%

“…It is proven that even in more specific contexts, like irrigation, the use of specialized systems can take many different forms. As examples, the use of Expert Systems based on the analysis of papers (1) Hershauer et al (1989) and ( 12) Worqlul et al (2019), which have as their goals determining viability and managing hydrological resources for irrigation. In contrast, in paper (2) Su e Wen ( 2001), the agricultural planning process was carried out using an expert system and spatial data.…”

Section: Expert Systemsmentioning

confidence: 99%

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Technological advances in irrigation from the perspective of articicial intelligence

Galafassi,

Carpes,

Galafassi

et al. 2023

OLEL

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The purpose of this study was to conduct an analysis of technological advancements and current irrigation situation in agriculture from the perspective of artificial intelligence. The Scopus platform's database was initially used to find scientific articles published in recent decades that highlight the use of artificial intelligence techniques regarding irrigation in agriculture. From the 807 publications returned by the search process a sample of 19 publications that underwent systematic analysis were chosen statistically. The areas of Artificial Intelligence were classified: Expert Systems (30.70%), Optimization (30.70%), Machine Learning (10.30%), Evolutionary Computing (10.30%), Robotics and Remote Sensing (10.20%), with Automation, IoT and Natural Language Processing with 2.6%, respectively. Considering the conditions under which the study was conducted the analysis reveals that in the last 10 years (2012 to 2022) account, for about 70% of categories assigned to research that is conducted inside AI areas and aims to create data that can be utilized to support practical decisions about the use of water.

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Section: Scientific Papers Related To the Ia Fieldmentioning

confidence: 99%

Section: Expert Systemsmentioning

confidence: 99%