Hydroponic Technology in Agriculture Industry

Prayoga, I Gede Putu Adhitya; Putra, Rexy Anggala

doi:10.1088/1757-899x/879/1/012130

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Their analysis reveals a promising financial outlook, with a payback period of one year, four months, and one day, a Net Present Value (NPV) of IDR 126,869,865, an Internal Rate of Return (IRR) of 49%, and a profitability index of 3.504%. Additionally, investigations by Prayoga & Putra (2020) elucidate the essence of hydroponic technology as a soil-less farming method, relying on water-based media. By bypassing traditional soil-based systems, hydroponics streamlines nutrient delivery, water supply, and oxygenation, thereby optimizing plant growth and productivity.…”

Section: Introductionmentioning

confidence: 99%

Business Analysis and Vegetable Hydroponic Marketing

Gustami Harahap,

Siswa Panjang Hernosa,

Mitra Musika Lubis

et al. 2024

J. AGRISEP: Kaj. Mas. Sos. Ek. Pert. n. Agr.

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The purpose of this research is 1) To find out how much income hydroponic spinach farming is in Percut Sei Tuan District; 2) To determine the feasibility of hydroponic spinach farming in Percut Sei Tuan District; 3) To find out the marketing efficiency of hydroponic spinach farming in Percut Sei Tuan District. This research was conducted in Percut Sei Tuan District, Deli Serdang Regency, in December 2022. With a sample of 23 respondents, 8 owned hydroponic businesses, three collectors, five wholesalers, and seven consumers. The data used are primary data from interviews with questionnaires to find the 1st objective by the R/C ratio business feasibility analysis; the share margin analyzed for the 3rd objective. Based on the research, the results obtained: 1) the average income of hydroponic spinach vegetable farmers is IDR. 13,393,328 per planting period with an average land area of 294.50; 2) Farming is feasible with R/C Ratio >1, which is 3.08, Volume BEP Value = 347,98 kg, BEP price value = IDR 8,237, Payback Period (PP) value = 0,33; 3) the three marketing channels are considered efficient, where the efficiency value is < 50%. Channel I is worth 1,47%, Channel II is 1,51%, and Channel III is 1,1%.

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Section: Introductionmentioning

confidence: 99%

Business Analysis and Vegetable Hydroponic Marketing

Gustami Harahap,

Siswa Panjang Hernosa,

Mitra Musika Lubis

et al. 2024

J. AGRISEP: Kaj. Mas. Sos. Ek. Pert. n. Agr.

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“…In addition, plant roots do not rot easily in the NFT hydroponic because the roots are not entirely submerged. The nutrient layer in the NFT system is conditioned in a maximum height of 3 mm solution so that the water (nutrition) and oxygen are available at appropriate levels [4]. However, The NFT method is weak regarding the large amount of electrical energy required because the pump must run all day during the growing period.…”

Section: Introductionmentioning

confidence: 99%

Plant stress prediction model on nutrient film technique hydroponic in a natural greenhouse

Setiawati

Sutiarso

Ngadisih

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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This study aimed to identify plant stress on the NFT hydroponic module in the greenhouse using the mathematical model of the 4th-order polynomial regression equation. The artificial Neural Network (ANN) approach was also conducted to analyze factors affecting plant growth and yield. Tatsoi plants (Brassica rapa subsp. Narinosa) were grown in the NFT hydroponic module with three treatments of irrigation time, i.e., 6 hours (A6), 12 hours (A12), and 24 hours (A24). Measured parameters include microclimate (temperature, relative humidity, and light intensity) and plant morphology (leaf canopy area, root length, leaf number, and plant weight). The value of the resulting model’s coefficient of determination (R2) for A6, A12, and A24 were 0.9986, 0.994, and 0.9988, respectively. The results of the validation test also show that the prediction data built from the model is very close to the actual data of tatsoi plant’s leaf canopy area. Based on the ANN approach, the MAPE value (0.240) and error (0.00116) A6 treatment were the smallest, whereas the largest R2 value (0.979) was also obtained in this treatment. Furthermore, analysis of the plant weight showed that changes in the leaf canopy area due to water stress ultimately affect plant yield.

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Recovery of precious metals from e-wastes through conventional and phytoremediation treatment methods: a review and prediction

Zulkernain

Basant

et al. 2023

J Mater Cycles Waste Manag

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Hydroponic Technology in Agriculture Industry

Cited by 3 publications

References 7 publications

Business Analysis and Vegetable Hydroponic Marketing

Business Analysis and Vegetable Hydroponic Marketing

Plant stress prediction model on nutrient film technique hydroponic in a natural greenhouse

Recovery of precious metals from e-wastes through conventional and phytoremediation treatment methods: a review and prediction

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