Implementation of a Fuzzy Logic Controller for the Irrigation of Rose Cultivation in Mexico

Parrazales, Romeo Urbieta; Álvarez, María Teresa Zagaceta; Cruz, Karen Alicia Aguilar; Orozco, Rosaura Palma; Muñoz, José Luis Fernández

doi:10.3390/agriculture11070576

Cited by 12 publications

(10 citation statements)

References 4 publications

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“…Plant growth was monitored as input fuzzy parameters [56]. The application of fuzzy logic [57] and Neural Network [58] in this irrigation control can improve water use efficiency. Sensor networks have also been created in several zoning to facilitate obtaining fuzzy parameter input www.ijacsa.thesai.org data based on crop area [59].…”

Section: A Search String Reviewmentioning

confidence: 99%

A Systematic Literature Review: Internet of Things on Smart Greenhouse

Setyawan¹,

Warsito²,

Marjunus³

et al. 2022

IJACSA

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Increasing food needs and climate instability require researchers to innovate agriculture using smart greenhouses that are integrated with the Internet of Things (IoT). The Systematic Literature Review (SLR) begins with determining the topic keywords followed by searching the publisher link. It obtains 301 publications to be reviewed, 58 of which address the research questions posed. This study aims to collect and analyze in depth various knowledge about the Internet of Things Smart Greenhouse regarding sensors, methods used and publishers who publish the most related topics and the possibility of a research gap. The findings are as many as 12 publications that use temperature and humidity sensors and use the research and development methods integrated with Artificial intelligence methods, of which 62.1% do not use the datasets and 37.9% use the datasets. It obtains two possibilities of a research gap, namely improvising the algorithm and the dataset used and placing full control on the microcontroller development board and making IoT a supporting tool.

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Section: A Search String Reviewmentioning

confidence: 99%

A Systematic Literature Review: Internet of Things on Smart Greenhouse

Setyawan¹,

Warsito²,

Marjunus³

et al. 2022

IJACSA

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“…This approach imitates human thought processes in control systems by establishing logical rules that guide greenhouse functions [15]. The Mamdani method is also used to provide sufficient water for rose plants in the Mexico, with control over humidity (RH) and temperature (T) [16]. Other researchers have utilized genetic algorithms to maintain temperature and humidity levels in a greenhouse with highly satisfying results [17].…”

Section: Introductionmentioning

confidence: 99%

Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System)

Marzuki,

Heryawan,

Dulhan

2024

AJECE

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Indonesia is an archipelagic country crossed by the equator, surrounded by the ocean, and traversed by many rivers, with a high level of rainfall. One of its islands is West Kalimantan, which has the longest river in Indonesia, the Kapuas River. In addition to the Kapuas River, there are also several tributaries scattered across this island, ensuring a constant water supply in the region. A natural condition surrounded by water, creates an environment with temperature and humidity that is ideal for the habitat of the swiftlets (COLLOCALIA FUCIPHAGA). The swiftlets initially inhabit caves with humidity levels around 80-95% and temperatures between 25-27°C. The nests of these swiftlets contain valuable substances, especially for health and cosmetics purposes, making them highly valuable in the market. Due to their high economic value, many farmers construct artificial houses for swiftlets of various sizes. The main challenge in a swiftlet house is to maintain humidity and temperature conditions close to the ideal habitat. This research aims to create a prototype control and monitoring system based on Mamdani FIS to maintain humidity and temperature inside the swiftlets house close to the ideal conditions, achieved by implementing an effective timing mechanism for humidifier machines and fans. Experiments results of the prototype show that the average humidity produced is 87.06%, and the temperature is 25.19°C. The placement of this prototype within an Artificial house for swiftlets should be movable within certain rooms and positioned according to the swiftlets' needs to ensure that the location is favored by the birds. This prototype can be operated manually and automatically, thus providing flexibility for Swiftlet farmers to control and monitor the Swiftlet’s house condition. This automatic control can be done globally via smartphone devices, so it is also able to provide great convenience for Swiftlets farmers to change and monitor the temperature and humidity.

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“…The authors in [8] present a solution for improving the irrigation of rose crops. The objective is to reduce water consumption and operating costs, taking advantage of intelligent fuzzy logic controllers (FLCs) and environmental characteristics in the State of Mexico.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Control Application to an Irrigation System of Hydroponic Crops under Greenhouse: Case Cultivation of Strawberries (Fragaria Vesca)

Maya-Olalla

Flores

Zambrano

et al. 2023

Sensors

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Hydroponics refers to a modern set of agricultural techniques that do not require the use of natural soil for plant germination and development. These types of crops use artificial irrigation systems that, together with fuzzy control methods, allow plants to be provided with the exact amount of nutrients for optimal growth. The diffuse control begins with the sensorization of the agricultural variables that intervene in the hydroponic ecosystem, such as the environmental temperature, electrical conductivity of the nutrient solution and the temperature, humidity, and pH of the substrate. Based on this knowledge, these variables can be controlled to be within the ranges required for optimal plant growth, reducing the risk of a negative impact on the crop. This research takes, as a case study, the application of fuzzy control methods to hydroponic strawberry crops (Fragaria vesca). It is shown that, under this scheme, a greater foliage of the plants and a larger size of the fruits are obtained in comparison with natural cultivation systems in which irrigation and fertilization are carried out by default, without considering the alterations in the aforementioned variables. It is concluded that the combination of modern agricultural techniques such as hydroponics and diffuse control allow us to improve the quality of the crops and the optimization of the required resources.

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Implementation of a Fuzzy Logic Controller for the Irrigation of Rose Cultivation in Mexico

Cited by 12 publications

References 4 publications

A Systematic Literature Review: Internet of Things on Smart Greenhouse

A Systematic Literature Review: Internet of Things on Smart Greenhouse

Artificial House for Swiftlets (COLLOCALIA FUCIPHAGA) Based on MAMDANI FIS (Fuzzy Inference System)

Fuzzy Control Application to an Irrigation System of Hydroponic Crops under Greenhouse: Case Cultivation of Strawberries (Fragaria Vesca)

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