Sprinkler irrigation design with microcontroller based on IoT

Noerhayati, Eko; Margianto,; Dwisulo, Bambang; Rahmawati, Anita

doi:10.1088/1755-1315/456/1/012063

Cited by 10 publications

(6 citation statements)

References 11 publications

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“…The panel or smartphone can be used to refill the reservoir. The water flow value per minute and volume value are water flow sensor values that can be presented on the LCD panel (Reddy et al, 2020;Noerhayati et al, 2020). Fertilization is done once a week using both Internet of Things and traditional drip irrigation.…”

Section: Volume Of Water and Fertilizermentioning

confidence: 99%

The Effect of Internet of Things Based Drip Fertilization System with Cultivation Model on Harvest Results and Quality of Red Lettuce (<i>Lactuca sativa</i> L. var. Crispa)

Noerhayati,

Mardiyani,

Mustika

2023

Ecol. Eng. Environ. Technol.

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Plants on the land quickly wilt and perish due to the extended dry season, severe temperatures, heat, and glaring sunlight. This issue has impacted red lettuce, which has commercial value and high marketing prospects. Providing plants with water and fertilizer during the dry season must be efficient and exact. Excess fertilizer application pollutes the environment. In the dry season, drip irrigation with IoT-based liquid fertilizer distribution is projected to save water and fertilizer due to low discharge and high frequency. The study's goal is to provide effective autonomous distribution of water and fertilizer to red lettuce plants in order to achieve precision environmentally friendly agriculture. A split-plot design with a main plot and subplots was used to structure the research. Each treatment in one replication contained 5 plant samples, for a total of 60 plants in this study, with weekly watering and fertilization. The findings show that an IoT-based automatic water supply and drip fertilization system can precisely regulate the distribution of water and fertilizer to red lettuce plants, thereby improving water efficiency, farmer energy efficiency, and environmental friendliness.

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Section: Volume Of Water and Fertilizermentioning

confidence: 99%

The Effect of Internet of Things Based Drip Fertilization System with Cultivation Model on Harvest Results and Quality of Red Lettuce (<i>Lactuca sativa</i> L. var. Crispa)

Noerhayati,

Mardiyani,

Mustika

2023

Ecol. Eng. Environ. Technol.

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“…The resulting data were averaged and further evaluated, using one way analysis of variance, ANOVA [32]. Meanwhile, soil moisture measurement via the gravimetric method, was compared to similar samples, using unpaired t test with a 5% level.…”

Section: Vitamin Cmentioning

confidence: 99%

Analysis of Chlorophyll and Carotenoids Content in Brassica Chinensis Plants Using IoT-Based Sprinkle Irrigation

Noerhayati¹,

Mustika²,

Mardiyani³

et al. 2022

J. Ecol. Eng.

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The agricultural sector is currently witnessing the use of Internet of Things (IoT) to drive significant innovations across key interests, particularly irrigation. A sprinkler designed with an Arduino controller was developed in this study. The device is among the fastest growing agricultural irrigation systems. The plant studied is Brassica Chinensis, because this vegetable is one of the most commonly consumed vegetables by Indonesian people. However, emphasis is also placed on plant quality as an important consideration, not only on the device's operational performance. The purpose of this research was to compare the plant quality, including the dissolved solids, chlorophyll, carotenoid, and vitamin C using manual and Arduino-based sprinkler. As consequence, three treatment methods were employed, termed: the use of manual sprinkle, e.g. P0, and Arduino-based IoT sprinkler, described as P1 and P2. Under these conditions, the chlorophyll quality was comparable to the results obtained using the manual application. P1 is a situation where the sprinkler is manually set by the farmer via the app. Meanwhile, P2 uses a sprinkler which is automatically regulated by the system. Under these conditions, the chlorophyll quality generated with the IoT sprinkler was comparable to the results obtained using the manual application.

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“…IoT allows users to control irrigation pumps and sprinklers remotely [4]. Research on [5] sprinkler irrigation shows that the distribution of automatic sprinklers combined with manual experiments with the T value results in the calculation < from the table. Acceptance of the Ho value indicates that the design of the sprinkler machine can work well.…”

Section: Introductionmentioning

confidence: 99%

Losses Pipes in Sprinkler Irrigation Based IoT

Noerhayati¹,

Mustika²,

Margianto³

et al. 2021

Advances in Social Science, Education and Humanities Research

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Sprinkler irrigation is an alternative irrigation technology that is theoretically more efficient than open channel irrigation. Sprinkler irrigation can reduce water losses caused by percolation and runoff. In industrial age 4.0, modern technology is highly influential in everyday life, including the IoT in sprinkler irrigation. Research and design of sprinkler irrigation based on IoT has been carried out extensively. Still, the understanding of water loss factors is not fully understood, and something new is needed to determine a better assessment of incidence. For this, the power loss test in sprinkler irrigation canals based on IoT is carried out on a laboratory scale. The statistical analysis shows that the relationship between discharge and head loss is = −3 − 08 4 + 4 − 07 3 − 2 − 06 2 + 2 − 06 + 0.0002 with a value of ² = 0.9495.

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Sprinkler irrigation design with microcontroller based on IoT

Cited by 10 publications

References 11 publications

The Effect of Internet of Things Based Drip Fertilization System with Cultivation Model on Harvest Results and Quality of Red Lettuce (<i>Lactuca sativa</i> L. var. Crispa)

The Effect of Internet of Things Based Drip Fertilization System with Cultivation Model on Harvest Results and Quality of Red Lettuce (<i>Lactuca sativa</i> L. var. Crispa)

Analysis of Chlorophyll and Carotenoids Content in Brassica Chinensis Plants Using IoT-Based Sprinkle Irrigation

Losses Pipes in Sprinkler Irrigation Based IoT

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