A Review of Research Results on Stevia rebaudiana Bertoni in Yucatan Mexico from 2010 to 2017

Ramírez-Jaramillo, Genovevo; Lozano-Contreras, Mónica Guadalupe; Moguel-Ordonez, Yolanda Beatriz; Aviles-Baeza, Wilson I.; Ramírez-Silva, Jorge H.

doi:10.4236/oalib.1108164

Cited by 1 publication

(4 citation statements)

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“…The hardware includes the master node, sensor node, and sensors, which are responsible for collecting data from the environment. Data transmission is facilitated As mentioned in the previous section, in order to determine the SQ of a stevia crop it is necessary to measure soil parameters and check if these are inside an optimal range [1,2,8]. For this study, seven soil parameters were selected: pH, humidity, temperature, electric conductivity, nitrogen, phosphorus, and potassium.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

“…Table 3 provides an extract of these rules. It is important to note that the activation of MC's MF depends on the pre-mapped values of nitrogen, phosphorus, and potassium, which are classified as either good (1) or bad (0). The rest of the fuzzy rules are in Appendix A, Tables A1 and A2.…”

Section: Rulesmentioning

confidence: 99%

“…Stevia, scientifically known as Stevia rebaudiana Bertoni, is a perennial plant that has been used for centuries as a natural sweetener and for medicinal purposes. It belongs to the Asteraceae family and is native to the northern regions of Paraguay and southern Brazil [1]. Stevia Morita II, a specific variety of Stevia rebaudiana Bertoni, was initially cultivated in Japan by Toyosigue Morita.…”

Section: Introductionmentioning

confidence: 99%

“…Its cultivation and usage have not only garnered attention for its economic value but also for its potential contribution to healthier dietary choices and the fight against chronic noncommunicable diseases such as obesity, diabetes, and cardiovascular diseases [3]. The chemical composition and steviol glycoside content in stevia leaves can vary depending on the country of cultivation, making it crucial to compare and understand these variations [1].…”

Section: Introductionmentioning

confidence: 99%

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

Vejar-Cortés,

García-Díaz,

Soriano-Equigua

et al. 2023

Applied Sciences

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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.

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Section: Wireless Sensor Networkmentioning

confidence: 99%

Section: Rulesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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