Determination of Crop Soil Quality for IStevia rebaudiana/I Bertoni Morita II Using a Fuzzy Logic Model and a Wireless Sensor Network

Stevia rebaudiana Bertoni Morita II, a perennial plant native to Paraguay and Brazil, is also widely cultivated in the state of Colima, Mexico, for its use as a sweetener in food and beverages. The optimization of soil parameters is crucial for maximizing biomass production and stevioside levels in...

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Bibliographic Details
Published in:Applied sciences 2023-08, Vol.13 (17)
Main Authors: Vejar-Cortés, Angel-Primitivo, García-Díaz, Noel, Soriano-Equigua, Leonel, Ruiz-Tadeo, Ana-Claudia, Álvarez-Flores, José-Luis
Format: Article
Language:English
Subjects:
Analysis
Electric properties
Electrical conductivity
Fuzzy algorithms
Fuzzy logic
Fuzzy systems
Sensors
Wireless sensor networks
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Summary:Stevia rebaudiana Bertoni Morita II, a perennial plant native to Paraguay and Brazil, is also widely cultivated in the state of Colima, Mexico, for its use as a sweetener in food and beverages. The optimization of soil parameters is crucial for maximizing biomass production and stevioside levels in stevia crops. This research presents the development and implementation of a monitoring system to track essential soil parameters, including pH, temperature, humidity, electrical conductivity, nitrogen, phosphorus, and potassium. The system employs a wireless sensor network to collect quasi-real-time data, which are transmitted and stored in a web-based platform. A Mamdani-type fuzzy logic model is utilized to process the collected data and provide farmers an integrated assessment of soil quality. By comparing the quality data output of the fuzzy logic model with a linear regression model, the system demonstrated acceptable performance, with a determination coefficient of 0.532 for random data and 0.906 for gathered measurements. The system enables farmers to gain insights into the soil quality of their stevia crops and empowers them to take preventive and corrective actions to improve the soil quality specifically for stevia crops.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13179507