Dempster-Shafer Method for Diagnose Diseases on Vegetable

Astuti, Ermayanti; Saragih, Nidia Enjelita; Sribina, Nuraini; Ramadhani, Rahmi

doi:10.1109/citsm.2018.8674377

Cited by 7 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previously, higher-level image analysis of crop diseases was not particularly effective; however, its applicability has been enhanced when combined with smart tools, such as videos or mobile phones linked to knowledge bases (e.g., the system VACDDS [20]). Various computational algorithms and diagnostic models have been tested to improve visual evaluation and further identification [21,22]. The existence of precise databases of sufficiently adequate images has been [23] reported to be the basic prerequisite for enabling such a system to be functional.…”

Section: Symptomatic Diagnosismentioning

confidence: 99%

Applicability of Smart Tools in Vegetable Disease Diagnostics

Ovesná

Tsiropoulos²,

Collier

et al. 2023

Agronomy

View full text Add to dashboard Cite

Various diseases and pests cause serious damage to vegetable crops during the growing season and after harvesting. Growers attempt to minimize losses by protecting their crops, starting with seed and seedling treatments and followed by monitoring their stands. In many cases, synthetic pesticide treatments are applied. Integrated pest management is currently being employed to minimize the impact of pesticides upon human health and the environment. Over the last few years, “smart” approaches have been developed and adopted in practice to predict, detect, and quantify phytopathogen occurrence and contamination. Our review assesses the currently available ready-to-use tools and methodologies that operate via visual estimation, the detection of proteins and DNA/RNA sequences, and the utilization of brand-new innovative approaches, highlighting the availability of solutions that can be used by growers during the process of diagnosing pathogens.

show abstract

Section: Symptomatic Diagnosismentioning

confidence: 99%

Applicability of Smart Tools in Vegetable Disease Diagnostics

Ovesná

Tsiropoulos²,

Collier

et al. 2023

Agronomy

View full text Add to dashboard Cite

show abstract

“…This frame is denoted by θ (theta). Furthermore, m3, which is a combined function of m1 and m2, can be expressed as follows [12]:…”

Section: Dempster Shafer Algorithmmentioning

confidence: 99%

Dempster Shafer Algorithm For Expert System Early Detection of Anxiety Disorders

Okmayura

Vitriani

Novalia

2021

LKJITI

View full text Add to dashboard Cite

Anxiety is an excessive anxiety disorder that is often found in psychology. Some people generally do not realize that they may have symptoms of this anxiety disorder. If ignored and continued continuously, it can interfere with one's activities, reduce academic achievement, and disrupt psychological conditions that affect their lives. This expert system for early detection of anxiety disorders is carried out using forward chaining tracing techniques to explore the knowledge base, and the inference motor is the Dempster Shafer algorithm. Dempster Shafer calculation is done by combining symptom pieces to calculate the possibility of the anxiety disorder. This anxiety disorder detection system is built on the web. Then the test is carried out by comparing the value generated by the system with the value generated by two experts. The test results prove that the value generated by the system has a similarity of 85% to the value produced by the two experts. It can be concluded that implementing the Dempster Shafer algorithm for this expert system in the early detection of anxiety disorders is feasible.

show abstract

“…In this paper, using computer image processing technology to image processing plant disease [1], using support vector machines SVM to classify disease, combined with machine learning technology to test the plant diseases and insect pests [2], for the tomato plant diseases and insect pests of category classification and protection of tomato fruit, tomato plant diseases and insect pests and relationship between different types and evolution regularity, and reduce the pressure of growers production [3] research and other aspects have practical significance.…”

Section: Introductionmentioning

confidence: 99%