A web-based intelligent disease-diagnosis system using a new fuzzy-logic based approach for drawing the inferences in crops

Kolhe, Savita; Kamal, Raj; Saini, H. S.; Gupta, Girish Kumar

doi:10.1016/j.compag.2011.01.002

Cited by 56 publications

(31 citation statements)

References 11 publications

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“…This approach, based on the largescale, real-time environment, needs effective monitoring and controlling services that can be achieved through ubiquitous computing in vertical farms. High-tech services such as farm management (Nikkilä et al 2010), disease diagnosis (Manhire et al 2012), and production sustainability (Kolhe et al 2011) can be enriched in remote locations through web applications (Xia et al 2011) and integration and identification devices may lead to effective Internet of Things applications for vertical farms or urban gardening.…”

Section: Social and Environmental Sustainability Of Citiesmentioning

confidence: 99%

Electronic identification technology for agriculture, plant, and food. A review

Luvisi

2016

Agron. Sustain. Dev.

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Automation in agriculture should improve plant health, product quality, and production efficiency. However the actual use of electronic identification tools in agriculture is limited. Therefore, I review here electronic identification applications to support plant health and production and agricultural sustainability. The major points are as follows: (1) there is a tenfold increase of literature on the application of radio frequency identification in agriculture from 2000-2004 to 2005-2009. (2) Development of quick response code and radio frequency identification solutions are improving automated systems. (3) There is a major advancement in associating thermal sensors to electronic tags to preserve food quality and to manage temperature-controlled supply chain. Whereas tests with biosensors used for biological or chemical alerts are limited. (4) Agrochemical tagging, using radio frequency identification tags, improve plant health management and environmental monitoring. (5) While phytosanitary certifications are mandatory in high-cost cultivation systems and a need for risk management may promote radiofrequency identification (RFID) systems, the lack of specific economic analyses may discourage farmers and investors.

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Section: Social and Environmental Sustainability Of Citiesmentioning

confidence: 99%

Electronic identification technology for agriculture, plant, and food. A review

Luvisi

2016

Agron. Sustain. Dev.

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“…The database is designed mostly with MS SQL Server 2005. Open Database Connectivity (ODBC) is used to access the data from the database (Kolhe et al 2011). Object-oriented programming was used to build the database.…”

Section: Databasementioning

confidence: 99%

“…The disease diagnosis and treatment knowledge can be divided into three parts: textual knowledge, multimedia knowledge and prevention knowledge. The experts' knowledge is stored by production rules in the rule base (Kolhe et al 2011). The dynamic knowledge base generates a union set of questions-answers and automatically calculates the total confidence estimate for each question (Kolhe et al 2011).…”

Section: Databasementioning

confidence: 99%

“…The goal of the evaluation was to guarantee that there are no dead-end lines of reasoning, and that all possible errors and bugs were discovered (Kolhe et al 2011). The user interface evaluation involved verifying that the system was built correctly, and ensuring the knowledge in the system is consistent, complete and correct to satisfy the users' demands.…”

Section: System Evaluationmentioning

confidence: 99%

“…Many expert systems have been developed for disease diagnosis and have proven to be effective (Li et al 2002, Duan et al 2003, Zetian et al 2005, Devraj et al 2011, Cui et al 2012, Munirah et al 2016, however, for diagnosing horse diseases have not yet been studied in-depth. Nevertheless most existing expert systems fully account for the uncertainty of conclusions, and do not consider the uncertainty of the evidence (Kolhe et al 2011). In this paper, we designed an evidence-weighted uncertainty reasoning method to address the widespread existence of uncertainty in the process of diagnosing horse diseases, and reduced the influence of the subjective factor on the diagnosis accuracy.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Horse-Expert: An aided expert system for diagnosing horse diseases

Qin¹,

Xiao²,

Gao³

et al. 2016

Polish Journal of Veterinary Sciences

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In contrast to the rapid development of the horse husbandry in China, the ability of horse veterinarians to diagnose diseases has not been improved and only a few domain experts have considerable expertise. At present, many expert systems have been developed for diseases diagnosis, but few for horse diseases diagnosis have been studied in depth. This paper presents the design and development of a computer-aided expert system for diagnosing horse diseases. We suggest an approach for diagnosis of horse diseases based on the analysis of diagnostic characteristics and the experiential knowledge of domain experts. It is based on using evidence-weighted uncertainty reasoning theory, which is a combination of evidence theory and an uncertainty pass algorithm of confidence factors. It enables drawing of inferences with atypical clinical signs and the uncertainty of the user's subjective understanding. It reduces the influence of subjective factors on diagnostic accuracy. The system utilizes a user friendly interface for users and requests a confidence factor from users when feedback is given to the system. Horse-Expert combines the confidence factors with weight factors assigned to clinical signs by experts during the knowledge acquisition process to make diagnostic conclusions. The system can diagnose 91 common horse diseases, and provides suggestions for appropriate treatment options. In addition, users can check the medical record through statistical charts. The system has been tested in seven demonstration areas of Xinjiang province in northwestern China. By constantly maintaining and updating the knowledge base, the system has potential application in veterinary practice.

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Decision on single‐use and reusable food packaging: searching for the optimal solution using a fuzzy mathematical approach

Böröcz

2022

J Sci Food Agric

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BACKGROUND In modern food supply chains it is becoming increasingly important for companies to have sustainable product packaging systems. Deciding the protection, marketing, and logistical function of packaging, at optimal cost, is a very complex matter for professionals. The decision is usually between disposable (single‐use) and reusable (returnable) packaging solutions and their special characteristics. In practice, the focus of this decision is based on historical experience and traditions, taking a cost‐based and/or a criteria‐based approach. This considers a wide range of cost factors. Packaging cost is an important factor, but not the only one, in determining the optimal solution. RESULTS This study presents a three‐dimensional fuzzy signature model with a fuzzy method that can be applied to the packaging decision problem to investigate the interconnections among factors that affect the final results, beyond simple binary logic. Two types of food packaging, beverage glass and polyethylene terephthalate (PET) bottles, were chosen to validate the usability of the model. CONCLUSION Fuzzy signatures can model the subjectivity of human definitions and criteria using the knowledge of professionals – human knowledge, which is experienced under real conditions and is used in practice in the food‐packaging decision process. Food‐packaging decision components and the final decision can be determined by fuzzy algorithms using membership functions on aggregation and weighted values. © 2022 The Author. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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A web-based intelligent disease-diagnosis system using a new fuzzy-logic based approach for drawing the inferences in crops

Cited by 56 publications

References 11 publications

Electronic identification technology for agriculture, plant, and food. A review

Electronic identification technology for agriculture, plant, and food. A review

Horse-Expert: An aided expert system for diagnosing horse diseases

Decision on single‐use and reusable food packaging: searching for the optimal solution using a fuzzy mathematical approach

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