Wireless Greenhouse Monitoring System Using Tricycle Mobile-Robot Based On Rasberry PI

Widiawan, Beni; Triwidiarto, Cherry; Kautsar, Syamsiar; Firgiyanto, Refa

doi:10.1088/1755-1315/411/1/012058

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…The inception of IoT-based automation has had a significant impact on the agricultural industry; it is not just restricted to the fields of crop production and diagnostics but has also impacted the modification of agricultural practices [75,76]. Internet of Things-based automation technology is applied to regulate plant tissue culture microclimate variables such as temperature, RH, and light [61][62][63]. However, very limited research work has been conducted into the use of this technology at the plantlet acclimatization stage where the mortality rate is considerably high.…”

Section: Discussionmentioning

confidence: 99%

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Design and Evaluation of a Smart Ex Vitro Acclimatization System for Tissue Culture Plantlets

2022

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One of the technological advancements in agricultural production is the tissue culture propagation technique, commonly used for mass multiplication and disease-free plants. The necessity for date palm tissue culture emerged from the inability of traditional propagation methods’ offshoots to meet the immediate demands for significant amounts of planting material for commercial cultivars. Tissue culture plantlets are produced in a protected aseptic in vitro environment where all growth variables are strictly controlled. The challenges occur when these plantlets are transferred to an ex vitro climate for acclimatization. Traditional glasshouses are frequently used; however, this has substantial mortality consequences. In the present study, a novel IoT-based automated ex vitro acclimatization system (E-VAS) was designed and evaluated for the acclimatization of date palm plantlets (cv. Khalas) to enhance their morpho-physiological attributes and reduce the mortality rate and the contamination risk through minimal human contact. The experimental findings showed that the morpho-physiological parameters of 6- and 12-month-old plants were higher when acclimatized in the prototype E-VAS compared to the traditional glasshouse acclimatization system (TGAS). The maximum plant mortality percentage occurred within the first month of the transfer from the in vitro to ex vitro environment in both systems, which gradually declined up to six months; after that, no significant plant mortality was observed. About 6% mortality was recorded in E-VAS, whereas 18% in TGAS within the first month of acclimatization. After six months of study, an overall 14% mortality was recorded in E-VAS compared to 41% in TGAS. The proposed automated system has a significant potential to address the growing demand for the rapid multiplication of tissue culture-produced planting materials since the plant survival rate and phenotype quality were much higher in E-VAS than in the conventional manual system that the present industry follows for commercial production.

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Section: Discussionmentioning

confidence: 99%

“…In the same system, an artificial intelligence-based plant health prediction system also detected the contamination of sugarcane crops [62]. An automated IoT system was successfully developed to monitor the environment of a tissue culture laboratory for mushrooms in order to reduce culture failure [63].…”

Section: Introductionmentioning

confidence: 99%

Design and Evaluation of a Smart Ex Vitro Acclimatization System for Tissue Culture Plantlets

2022

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“…High proliferation rates are achieved by these factors, but they also typically lead to physiological, anatomical, and morphological issues that hinder ex vitro acclimation and lower plant survival rates (Ruffoni et al, 2013). Plant tissue culture microenvironment variables like temperature, RH, and light are regulated using Internet of Things-based automation technologies (Widiawan et al, 2021). However only a little amount of study has been done on the application of this technique at the plantlet acclimation stage, where the death rate is quite significant.…”

Section: Discussionmentioning

confidence: 99%

In Vitro Propagation of Date Palm (Phoenix Dactylifera L.) “Lakramat” Date Palms in Aswan Governorate

Abd Elaziem

2023

Egyptian International Journal of Palms

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Lakramat cultivar is mainly cultivated in the Siwa Oasis. It is one of the promising Egyptian date palm cultivars, and its good traits make it appropriate for export. This paper describes the micropropagation process utilizing Lakramat cv. shoot tip explants. Explants were grown for 36 weeks on MS medium supplemented with picloram at 2.0 mg/l mixed with 2iP at 0.5 mg/l and 0.5 g/l AC for initiation stage. The obtained embryonic cultures were placed for further development and embryo formation in maturation media containing 0.25 mg/l picloram in combination with 2iP at 1.0 mg/l. The obtained somatic embryos were shifted to multiplication medium containing putrescine at the concentrations of 0, 50, 100, and 150 mg/l to study its effect on multiplication rate. Various levels of light intensity during germination stage were also investigated. Indeed, a new system of acclimatization was discussed. Date palm (Phoenix dactylifera L.) -Lakramat‖ direct globular somatic embryos spontaneously formed on shoot tip sections. The most successful somatic embryo multiplication was produced during treatment with 100 mg/l Putrescine. On the other side, the higher intensity (6000 lux) promoted germination and shoot formation. During rooting stage, the addition of 1.5 mg/l IBA and 1mg/l NAA in rooting medium achieved the highest significant root number. New system of acclimatization used in the present protocol surpassed the traditional methods of acclimatization. The maximum levels of ex vitro plant growth vigor, leaf number/plant, leaf width, root number, and root thickness were stimulated by irrigation with the MS full strength solution.

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“…To enhance the robot's safety during movement and reduce the computer's energy consumption, the three-dimensional environmental information collected by the multi-line Lidar was filtered and transformed into two-dimensional laser information. Similarly, authors from Indonesia, B. Widiawan et al [9], have developed a wireless control system for a mobile robot for remote monitoring of greenhouse conditions. The mobile robot is equipped with two DOF manipulators for controlling the monitoring camera, as well as temperature and humidity sensors connected to a Raspberry Pi controller.…”

Section: Introductionmentioning

confidence: 99%

Prototype of a watering autonomous mobile robot for mini greenhouse with manipulator and computer vision

Mansurova,

Belgibaev,

Amanova

et al. 2024

BIO Web Conf.

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The development of a watering autonomous mobile robot capable of performing intellectual labor functions in place of humans is a pressing task in the fields of robotics and bioinformatics. These robots can be widely utilized in precision agriculture to conserve resources, particularly in the area of optimal plant irrigation. In the context of global urbanization, this study is dedicated to the development of a watering autonomous mobile robot for mini greenhouses. This robot is integrated with microelectronics and micro-automation systems. A prototype robot equipped with a manipulator and computer vision system was created. The developed irrigation schedule and planting methodology enable efficient resource utilization, increased crop yield, and reduced labor costs. Such an approach holds significant practical value for urban agriculture.

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Wireless Greenhouse Monitoring System Using Tricycle Mobile-Robot Based On Rasberry PI

Cited by 5 publications

References 6 publications

Design and Evaluation of a Smart Ex Vitro Acclimatization System for Tissue Culture Plantlets

Design and Evaluation of a Smart Ex Vitro Acclimatization System for Tissue Culture Plantlets

In Vitro Propagation of Date Palm (Phoenix Dactylifera L.) “Lakramat” Date Palms in Aswan Governorate

Prototype of a watering autonomous mobile robot for mini greenhouse with manipulator and computer vision

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