Knowledge modeling fore-agriculture using ontology

Ahsan, Muhammad; Motla, Yasir Hafeez; Asim, Muhammad Nabeel

doi:10.1109/icosst.2014.7029330

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…In the formalized description of knowledge regarding the IAS citizen sciences, through the use of ontologies it is necessary to take into account the possibility of including an explicit evaluation procedure, as without a well-structured one it will be difficult to assess the suitability of developed models in related research and their practical application [12]. Ontologies provide the necessary basis for the proper operation of semantic network-based applications -technologies that can provide instructions and clear rules in the processes of data collection, integration and use [13] in IAS citizen sciences initiatives.…”

Section: Discussionmentioning

confidence: 99%

An ontological model to support citizen science in the field of invasive species research

Milchev

Tomov

2022

Acta Scientifica Naturalis

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Advances in information technology developments have led to improved ways and means of sharing information and good practices in various areas of social development. Providing the necessary tools enables Citizen Sciences (CS) to play an important role in raising awareness and engaging various stakeholders in the prevention of invasive alien species (IAS). In Bulgaria, up until this point, it is poorly developed, and this is largely due to the lack of information to the general public regarding the categorization of species, pathways of introduction and their negative impact. The article examines the possibilities for introduction and use of an advanced ontological model in the area of invasive alien species research, which will aid the process of involving a wide range of stakeholders in various initiatives that will contribute to preventing the introduction and spread of IAS. The researched approach using the advantages of modern information and communication technologies includes acquaintance with the basic concepts in the area of IAS, the processes related to their introduction and spread, as well as taking into account the existing interrelationships, which would provide opportunities for early detection and the rapid eradication of IAS. The developed model will also be applied to measures and policies put in place to change the attitudes of the general public to the problem of IAS.

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Section: Discussionmentioning

confidence: 99%

An ontological model to support citizen science in the field of invasive species research

Milchev

Tomov

2022

Acta Scientifica Naturalis

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“…A knowledge management system for agriculture particularly for a wheat crop a novel approach that oracle supports RDF (Resource description framework) and OWL to present meaningful knowledge to the usage. The average rating provided by the expert by evaluating the ontology model vs the traditional knowledge management model is very much greater in comparison with the knowledge model [13].…”

Section: Overview and Surveymentioning

confidence: 99%

“…The system they built can be used in different ways like reusing, extending, modifying and pruning [12]. Well-maintained practices in agriculture are maintained or acknowledged and shared for the betterment of agricultural practices [13]. A domain ontology named agricultural online service was developed by keeping knowledge sharing as the main idea of agriculture which supported a multi-linguistic approach [14].…”

Section: Overview and Surveymentioning

confidence: 99%

Deep Neural Network System Using Ontology to Recommend Organic Fertilizers for a Sustainable Agriculture

Mummigatti,

Chandramouli,

Ramachandra

2023

ISI

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The highest challenge humankind is facing in the current time period is the enormous population growth and the need to meet the food and nutrient to the population. To meet the enormous production, the farmers are more relayed on the usage of chemicals to increase the food production during the cultivation process. Inclination towards chemical fertilizers is because of their popularity and availability, the over usage of these chemicals is a root cause of many major problems like nutrient-less crops, soil quality degradation, and environmental hazards in the long run. The availability of a knowledge base of the soil quality parameters and their related organic fertilizers according to the farmer's region can decrease the inclination towards the utilization of chemical fertilizers and adopt the usage of organic fertilizers. To help in this process of a major change in farming we built an ontology oriented deep learning model which recommends the farmers in choosing the best organic fertilizers based on the soil quality. The domain ontology construction for agriculture is based on semantic language which can be reused in the future. The knowledge base is then utilized by the deep learning model to process the data and recommend the best suitable fertilizers.

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An Expert System Using Ontology as Knowledge Base for Personalized Rice Cultivation Suggestion

Chariyamakarn

Boonbrahm

et al. 2017

Recent Advances and Future Prospects in Knowledge, Information and Creativity Support Systems

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Knowledge modeling fore-agriculture using ontology

Cited by 7 publications

References 6 publications

An ontological model to support citizen science in the field of invasive species research

An ontological model to support citizen science in the field of invasive species research

Deep Neural Network System Using Ontology to Recommend Organic Fertilizers for a Sustainable Agriculture

An Expert System Using Ontology as Knowledge Base for Personalized Rice Cultivation Suggestion

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