Fuzzy system design for automatic irrigation of agricultural fields

Baradaran, Amir Abbas; Tavazoei, Mohammad Saleh

doi:10.1016/j.eswa.2022.118602

Cited by 4 publications

(6 citation statements)

References 40 publications

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“…It belongs to the daisy family Asteraceae and is most To assess the amount of water required to meet the needs of a given crop, it is necessary to consider the entire process. Therefore, it is necessary to assess the water requirements for irrigation before planting in drylands; the water requirements for flooding irrigation, such as rice cultivation; the water requirements for the crop grown when considering evapotranspiration; and the water requirements for special aims, such as cooling, heating, dehumidification, or preventing frost [36].…”

Section: Results For Water Consumption and Yield For Lettucementioning

confidence: 99%

“…Table 6 shows the results of the research that led to the quantification of the impact of the technologies used. Crop water requirements were estimated using remote sensors and fuzzy logic with the aim of optimizing the efficiency of the irrigation system to save water [36]. The variables input into the control were related to the environment in which the crop was grown.…”

Section: Results For Water Consumption and Yield For Lettucementioning

confidence: 99%

“…Considering that the farm area was 15 ha, the water requirement per ha was equal to 3264 L/ha. According to the authors, this fuzzy system can be used for any crop type [36]. Several experiments have been conducted on lettuce crops.…”

Section: Results For Water Consumption and Yield For Lettucementioning

confidence: 99%

“…Furthermore, in this case, the aim is to improve crop yields and reduce waste, water consumption, and the resulting environmental impacts overall, while, at the same time, improving food safety and the safety of operators. The authors of [36] set up an IoT-based system to manage an irrigation system and provide water to crops only when they needed it. The designed control was a closed-loop system and was based on data monitored by IoT sensors in the field that evaluated soil moisture and temperature.…”

Section: Topic Two: Smart Sensors To Monitor Plant Exogenous Factorsmentioning

confidence: 99%

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Technologies to Optimize the Water Consumption in Agriculture: A Systematic Review

2023

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Agriculture is facing several very important challenges. Population growth means that more food must be produced to meet nutritional needs. However, this is putting excessive pressure on natural resources, such as water and land, which are heavily used for agricultural practices. For these reasons, we carried out a systematic review of existing studies in the scientific literature to better understand how innovative strategies can decrease water consumption in agriculture. It was performed following PRISMA guidelines, using the Scopus database to select papers that have investigated the link between water consumption and the main agriculture strategies, such as controlled-environment agriculture, hydroponics, and precision farming for field crops, in the last ten years. Data relating to the water requirements of the selected crops were estimated to provide a framework for evaluating possible solutions. The results showed that these innovative strategies have the potential to decrease water consumption, but more research is needed to fully understand their effectiveness and potential trade-offs. Therefore, both exogenous and endogenous crop factors should be considered to maximize water savings. The results will form the basis for a framework for assessing the sustainability of agricultural strategies and how they can be applied in a real-life case study.

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Section: Results For Water Consumption and Yield For Lettucementioning

confidence: 99%

Section: Results For Water Consumption and Yield For Lettucementioning

confidence: 99%

Section: Results For Water Consumption and Yield For Lettucementioning

confidence: 99%

Section: Topic Two: Smart Sensors To Monitor Plant Exogenous Factorsmentioning

confidence: 99%

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Technologies to Optimize the Water Consumption in Agriculture: A Systematic Review

2023

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“…To aid in improving yields and efficiency, Fuzzy methods have been used to generate effective irrigation scheduling and optimize water usage [13]. Fuzzy methods have also been employed by other researchers for irrigation system purposes, such as accurately predicting water consumption in different climates while saving water consumption by about 70% [14]. The Mamdani technique of fuzzy logic controllers, using Lyapunov functions, is used for designing smart greenhouses.…”

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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Improved multi-search strategy A* algorithm to solve three-dimensional pipe routing design

Liu,

Wu,

et al. 2024

Expert Systems with Applications

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Fuzzy system design for automatic irrigation of agricultural fields

Cited by 4 publications

References 40 publications

Technologies to Optimize the Water Consumption in Agriculture: A Systematic Review

Technologies to Optimize the Water Consumption in Agriculture: A Systematic Review

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

Improved multi-search strategy A* algorithm to solve three-dimensional pipe routing design

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