Smart IoT Water Sprinkle and Monitoring System for chili plant

Gultom, Judika Herianto; Harsono, Maruf; Khameswara, Tubagus Dhika; Santoso, Handri

doi:10.1109/icecos.2017.8167136

Cited by 25 publications

(11 citation statements)

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“…A systematic literature search following the PRISMA guideline was performed on 20 February 2019 in two digital scientific journal database: Science Direct and IEEE Xplore. Except searching these databases, some reference search was also done from sources like from the reference of selected papers in Science Direct and IEEE Xplore, and articles suggested by the expert which were not available in the searched database with the search string . Relevant literatures were identified based on the eligibility criteria fixed by the authors.…”

Section: Methodsmentioning

confidence: 99%

“…Except searching these databases, some reference search was also done from sources like from the reference of selected papers in Science Direct and IEEE Xplore, and articles suggested by the expert which were not available in the searched database with the search string. [12][13][14][15][16][17][18][19][20][21][22][23][24][25] Relevant literatures were identified based on the eligibility criteria fixed by the authors.…”

Section: Information Sourcesmentioning

confidence: 99%

“…According to this protocol a total 4104 number of articles were searched primarily from Science Direct and IEEE Xplore database. Another 14 articles [12][13][14][15][16][17][18][19][20][21][22][23][24][25] were identified from sources such as from the reference of selected papers, and articles suggested by the expert which were not available in the searched database with the search string. Therefore, a total of 4118 articles were first selected, then 65 duplicate articles were removed.…”

Section: Studies' Selectionmentioning

confidence: 99%

“…A model to measure soil pH level using pH sensor. 18 Water level estimation based on soil moisture and pH sensor values.…”

mentioning

confidence: 99%

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State‐of‐the‐art technologies in precision agriculture: a systematic review

2019

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BACKGROUND The socio‐economic status of the countries is ever‐changing due to the increasing population. ‘Green Revolution’, a paradigm shift towards technology driven agriculture, has ensured a good quality of life to some extent for this increasing population. However, it brings in several negative impacts on the environment, which poses a threat to the sustainability of agriculture and natural resources. Precision agriculture (PA) is a state‐of‐the‐art concept of site‐specific farm management that helps to overcome this threat in a smart way using modern information and communication technologies. It reduces the indecorous use of resources, pollution and hence improves quality of life, which in turn helps to achieve sustainable development goals. RESULTS The objective of this systematic review is to understand the present status, benefits, and limitations of the state‐of‐the‐art technologies used in PA. A total 67 articles are identified following the PRISMA guideline to inspect the technical innovations at different components of PA. The articles are examined based on the novelties, measured parameters, technologies, and field of applications. CONCLUSION This analysis results in a significant understanding about the present knowledge gap and identification of the potential future research opportunities for sustainable agronomy. © 2019 Society of Chemical Industry

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Section: Methodsmentioning

confidence: 99%

Section: Information Sourcesmentioning

confidence: 99%

Section: Studies' Selectionmentioning

confidence: 99%

“…A model to measure soil pH level using pH sensor. 18 Water level estimation based on soil moisture and pH sensor values.…”

mentioning

confidence: 99%

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State‐of‐the‐art technologies in precision agriculture: a systematic review

2019

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“…Bhuvaneswari [2] focused on organic farming and they have used the Remote monitoring system where by using the event detection algorithm the event will be generated depends upon the condition is satisified. Judika Herianto Gultom et al [3] focused on the factors that affect the chili plant , the information received from the sensor is processed and according to that appropriate measures are taken to have a better growth. Mustafa Alper Akkasa and Radosveta Sokullub [4] proposed an system based on IOT for measuring the humidity level in Real time and the measured information will be send through the communication module, so that improvement can be achieved in the next set of farming process.…”

Section: Related Workmentioning

confidence: 99%

Enhancement of Plant Monitoring Using IoT

Pravin¹,

Jacob²,

Asha³

2018

IJET

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Agriculture is the backbone of our country; most of the people depend on agriculture. The main issue in agriculture is water scarcity. The water resource is not used in an effective manner, so the water is wasted. In order to overcome this irrigation process can be automated. The use of Internet of things in this field will be helpful to reduce the wastage of water. So that the temprature as well as humidity and light are measured by means of sensors and depend up on the outcome further processing can be performed. We propose a system that will capture all the details about the soil and the temprature by means of different sensors. The sensed information will be send to the processor and depends up on the outcome the alert message will be passed and the appropriate amount of water will be released to the crop. And the further information related to the fertilizer quantity and whether there is any set of serious attack on the crop tha t will also be identified by the system. The advantage of this system will be finding the current issues in terms of soil condition, humidity and crop condition and the information will be immediately passed to the farmers.

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