Implementation and Development of a Novel Approach to Identify Sensor Data in Soilless Farming

Tusharkanta Padhy; Sunil Kumar Dhal; Biswaranjan Bhola; Bibhu Kalyan Mishra

doi:https://doi.org/10.14445/22315381/IJETT-V74I3P111

Research Article | Open Access | Download PDF

Volume 74 | Issue 3 | Year 2026 | Article Id. IJETT-V74I3P111 | DOI : https://doi.org/10.14445/22315381/IJETT-V74I3P111

Implementation and Development of a Novel Approach to Identify Sensor Data in Soilless Farming

Tusharkanta Padhy, Sunil Kumar Dhal, Biswaranjan Bhola, Bibhu Kalyan Mishra

Received	Revised	Accepted	Published
25 Aug 2025	23 Jan 2026	29 Jan 2026	28 Mar 2026

Citation :

Tusharkanta Padhy, Sunil Kumar Dhal, Biswaranjan Bhola, Bibhu Kalyan Mishra, "Implementation and Development of a Novel Approach to Identify Sensor Data in Soilless Farming," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 3, pp. 141-152, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I3P111

Abstract

The rapid evolution of the technology provides a new environment to the agriculture sector to increase its production in a limited space and resources, such as human intervention, Soil, Water, and fertilizer, will increase the path of sustainability to make it climate resilient. For availing the above benefits, IoT and AI played a vital role; without them, thinking of soil-less indoor farming with low cost is very difficult. In this proposed experiment, one IoT infrastructure was developed and implemented in indoor farming successfully. In this study, Italian Basil was taken as a plant, and it was grown for thirty days and successfully harvested. Port optimization, Sensor calibration, Data error optimization, and IoT architecture setup with tiny edge server development have been carried out and tested in a physical experimental workable model. The findings of the proposed study are that without proper IoT implementation, establishing indoor farming is very challenging, and the growth rate of a plant in the platform is nearly a hundred percent, in comparison to soil growth, which is around seventy percent. In the explained work, only three input ports are used to read the data from six sensors, and each dataset is collected in the interval of two minutes, and all the platform sensor parameters are calibrated by taking standardized lab instruments. The platform may be very helpful for households and small farmers to achieve their sustainability and food security.

Keywords

Port Optimization, Sensor Calibration, Cost-Effective IoT Architecture, Climate Resilient Farming, Indoor Farming, Automated Agriculture Platform.

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