Effect of pH on Hydroponically Grown Bush Beans (phaseolus vulgaris)

Hopkinson, S.; Harris, M.

doi:10.22161/ijeab/4.1.23

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…Finer Resolution are not common in research of the influence of the pH level. Other studies also did not use a higher resolution than 0.1 (Hopkinson and Harris, 2019;Kane et al, 2006;Resh, 2022).…”

Section: Phmentioning

confidence: 99%

Development of a Hydroponics Simulator to Generate Guidelines for Data Collection in Hydroponics for Machine Learning Applications

Swiatek,

Kuthe,

Al-Shrouf

et al. 2023

Agriculture & Food

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Hydroponics, a soilless growing method using nutrient-rich water solutions, offers distinct advantages in plant growth and resource efficiency. Data-driven optimization in hydroponics relies on precise control of environmental factors. To effectively apply data-driven optimization, comprehensive and accurate data describing hydroponic plant growth is essential. In the first part of the project and in this paper, we seek to identify critical parameters that influence plant growth, recommend optimal resolutions and measurement frequencies, and address challenges in data collection. Standardization of data collection procedures and establishment of data collection guidelines are fundamental to obtaining high quality, comparable and reproducible data. Establishing a standard for data collection will allow data from different experiments to be compared and used in future research. In the initial phase of the project and throughout this paper, our primary objective is to identify the relevant parameters affecting plant growth in a hydroponic system. These critical parameters encompass aspects such as light intensity, spectral composition, nutrient solution composition, water quality, pH levels, and more. By conducting a thorough investigation, we aim to recommend optimal resolutions for these parameters. Additionally, we will address the challenges associated with collecting data related to these key variables, ensuring that the data obtained is reliable and useful to further research and scientific exploration in the field of hydroponics. Accurate data on these characteristics enables data-driven decisions and methods, such as machine learning and machine vision, which in turn allow optimization of hydroponic productivity. The study conducted a comprehensive analysis and identified 30 essential parameters crucial for characterizing a hydroponic system. The findings are summarized as a list of relevant parameters that need to be measured or recorded to enable data-driven optimization of hydroponic systems.

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Section: Phmentioning

confidence: 99%

Development of a Hydroponics Simulator to Generate Guidelines for Data Collection in Hydroponics for Machine Learning Applications

Swiatek,

Kuthe,

Al-Shrouf

et al. 2023

Agriculture & Food

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“…Hal ini disebabkan oleh larutan nutrisi yang bersifat basa menyebabkan munculnya endapan pada larutan nutrisi sehingga unsur hara esensial yang dibutuhkan oleh tanaman tidak dapat diserap dengan baik. Hal ini sejalan dengan hasil penelitian yang telah dilakukan oleh Hopkinson (2019) menunjukkan bahwa sedimentasi atau endapan terjadi dalam larutan nutrisi dengan kadar pH 8 dan 9 yang mengindikasikan nutrisi tidak larut sepenuhnya pada tingkat pH tersebut. pH yang terlalu tinggi mempersulit tanaman untuk menyerap unsur hara dan mengakibatkan defisiensi unsur hara.…”

Section: Gambar 2 Grafik Jumlah Daununclassified

PENGARUH PERBEDAAN pH LARUTAN HARA TERHADAP PERTUMBUHAN DAN HASIL TANAMAN PAKCOY DALAM SISTEM HIDROPONIK Nutrient Film Technique (NFT):

2023

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This study aims to determine the effect of differences in pH on the growth and yield of pakcoy (Brassica rapa L.) cultivated in the Nutrient Film Technique (NFT) hydroponic system. The experiment was carried out from November 2022 to March 2023, at Unram Farming in Nyur Lembang Village, Narmada District, West Lombok Regency, West Nusa Tenggara (NTB). The experimental design used was a completely randomized design (CRD) with three treatments, namely pH = 5, pH = 6.5 and pH = 8, each of which was repeated nine times. The results showed that the treatment with different pH had a significantly different effect on the growth and yield of pakcoy on all parameters except for plant height at 6 and 12 HST and number of leaves at 6 HST. The best growth and yield of pakcoy was obtained from P2 treatment (pH: 6.5), while the worst growth and yield of pakcoy was obtained from P3 treatment (pH: 8).

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The effect of various nutrient hydroponic formulation on growth and yield of three varieties of common bean (Phaseolus vulgaris L.) on hydroponic drip irrigation system

Subandi¹,

I.²,

Q.³

et al. 2022

AIP Conference Proceedings

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Effect of pH on Hydroponically Grown Bush Beans (phaseolus vulgaris)

Cited by 6 publications

References 7 publications

Development of a Hydroponics Simulator to Generate Guidelines for Data Collection in Hydroponics for Machine Learning Applications

Development of a Hydroponics Simulator to Generate Guidelines for Data Collection in Hydroponics for Machine Learning Applications

PENGARUH PERBEDAAN pH LARUTAN HARA TERHADAP PERTUMBUHAN DAN HASIL TANAMAN PAKCOY DALAM SISTEM HIDROPONIK Nutrient Film Technique (NFT):

The effect of various nutrient hydroponic formulation on growth and yield of three varieties of common bean (Phaseolus vulgaris L.) on hydroponic drip irrigation system

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