AgriEnt: A Knowledge-Based Web Platform for Managing Insect Pests of Field Crops

Lagos-Ortíz, Katty; Salas-Zárate, María del Pilar; Paredes-Valverde, Mario Andrés; Garcí­a-Dí­az, José Antonio; Valencia‐García, Rafael

doi:10.3390/app10031040

Cited by 20 publications

(11 citation statements)

References 36 publications

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“…Furthermore, developing a reliable, easy-to-use, and cost-effective RPW detection device is an effective solution for reducing the gap in early detection [44]. In this regard, the literature provides some successful examples of early detection techniques in terms of efficiency, ease of use, and cost-effectiveness, such as biological and physiological indicators, thermal imaging, chemical signatures, acoustics, laser-induced remote sensing, breakdown spectroscopy, and near-infrared spectroscopy [9,[44][45][46][47][48][49]. Additionally, the FAO established a global RPW management platform that includes a mobile app tool for collecting and transmitting data on palm inspection [16].…”

Section: Discussionmentioning

confidence: 99%

Sustainable Management of the Red Palm Weevil: The Nexus between Farmers’ Adoption of Integrated Pest Management and Their Knowledge of Symptoms

et al. 2020

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The red palm weevil (RPW) (Rhynchophorus ferruginous) is one of the most serious pest insects threatening the sustainability of the date palm sector (Phoenix dactylifera L.). Nevertheless, a gap exists in the body of knowledge regarding patterns in farmers’ adoption of integrated pest management (IPM) for RPW control and how their knowledge of RPW symptomology influences IPM adoption. Data were collected using structured questionnaires from 183 palm growers in Al-Ahsa Governorate, Saudi Arabia. The results indicate that most farmers had insufficient knowledge to visually diagnose RPW symptoms and damage. Farmers moderately adopted preventive measures recommended for protection from RPW infestation. Only 13.11% of the farmers exhibited a high rate of adoption of pest management practices for RPW control and eradication. The findings revealed a strong positive association (0.8, p < 0.01) between the knowledge level regarding symptoms and IPM adoption level, whereby the respondents with more knowledge of RPW symptoms showed a higher level of adoption in all IPM categories. This study contributes to the development of our understanding of the social behaviors and risks associated with RPW. This might enhance the quality of awareness campaigns and extension programs and assist in developing a visual inspection protocol for RPW infestation for farmers.

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Section: Discussionmentioning

confidence: 99%

Sustainable Management of the Red Palm Weevil: The Nexus between Farmers’ Adoption of Integrated Pest Management and Their Knowledge of Symptoms

et al. 2020

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“…Relationships between the concepts (Microsoft ® Excel file attributed titles) can be represented as a formal structure or ontology [ 99 ]. Ontology can be referred to ‘as a specification of a representational vocabulary for a shared domain of discourse’ [ 100 ] or to ‘a formal and explicit specification of a shared conceptualization’ [ 101 ]. The adopted knowledge representation is based on a ternary relationship between the plant used for protection (biopesticide), the target organism (pest, disease or, in the current construction, beneficial organism) and the protected system (pre or postharvest crop) ( Figure S1 ).…”

Section: Methodsmentioning

confidence: 99%

Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa

Silvie

Martin

Huchard

et al. 2021

Plants

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Replacing synthetic pesticides and antimicrobials with plant-based extracts is a current alternative adopted by traditional and family farmers and many organic farming pioneers. A range of natural extracts are already being marketed for agricultural use, but many other plants are prepared and used empirically. A further range of plant species that could be effective in protecting different crops against pests and diseases in Africa could be culled from the large volume of knowledge available in the scientific literature. To meet this challenge, data on plant uses have been compiled in a knowledge base and a software prototype was developed to navigate this trove of information. The present paper introduces this so-called Knomana Knowledge-Based System, while providing outputs related to Spodoptera frugiperda and Tuta absoluta, two invasive insect species in Africa. In early October 2020, the knowledge base hosted data obtained from 342 documents. From these articles, 11,816 uses—experimental or applied by farmers—were identified in the plant health field. In total, 384 crop pest species are currently reported in the knowledge base, in addition to 1547 botanical species used for crop protection. Future prospects for applying this interdisciplinary output to applications under the One Health approach are presented.

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“…Chen et al [14] proposed an agricultural knowledge graph to automatically integrate massive agricultural data from the Internet. Lagos-Ortiz et al [15] constructed a knowledge-based platform to help crop insect pest diagnosis and management. Qiao et al [16] proposed an agricultural entity relationship joint extraction model for the construction of knowledge graphs.…”

Section: Related Workmentioning

confidence: 99%

Constructing Crop Portraits Based on Graph Databases Is Essential to Agricultural Data Mining

et al. 2021

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Neo4j is a graph database that can use not only data, but also data relationships. Crop portraits, a kind of property graph, model the crop entity in the real world based on data to realize the networked management of crop knowledge. The existing crop knowledge base has shortcomings such as single crop variety, incomplete description, and lack of agricultural knowledge. Constructing crop portraits can provide a comprehensive description of crops and make up for these shortcomings. This research used agricultural question-and-answer data and popular science data obtained by text crawling as the original data, selected labels to establish a crop portrait that including three categories (crops, pesticides, and diseases and pests), and used the graph database (Neo4j) to store and display these portrait data. Information mining found that the crop portrait revealed the occurrence trend of diseases and pests, exhibited a nonintrinsic connection between different diseases and pests, and provided a variety of pesticides to choose from for control of diseases and pests. The results showed that constructing crop portraits is beneficial to agricultural analysis, and has practical application values and theoretical research prospects in the field of big data analytics.

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AgriEnt: A Knowledge-Based Web Platform for Managing Insect Pests of Field Crops

Cited by 20 publications

References 36 publications

Sustainable Management of the Red Palm Weevil: The Nexus between Farmers’ Adoption of Integrated Pest Management and Their Knowledge of Symptoms

Sustainable Management of the Red Palm Weevil: The Nexus between Farmers’ Adoption of Integrated Pest Management and Their Knowledge of Symptoms

Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa

Constructing Crop Portraits Based on Graph Databases Is Essential to Agricultural Data Mining

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