Analysis of the effect of environmental data collected through the WSN on plant development by the WEKA program

Abstract

The increasing world population, along with rising water usage for personal, industrial, and agricultural purposes, and climate change issues, have caused water problems in many regions. Unconscious irrigation and the inability to predict plant water needs lead to water waste and yield losses. Innovative technologies are needed to improve efficiency and better manage water resources. One solution is digitalization in agriculture. This study created a greenhouse environment where sensors collected environmental data (soil moisture, temperature, humidity, and light) and transferred it to a farm management system. A gateway was established to enable data exchange between the sensor and actuator nodes and the management system over the network. Instant and hourly data were recorded in the database through the gateway. If the instant value transferred to the database was below the threshold value, automatic irrigation was performed by the actuator. The amount of water used was recorded in the database. The collected data were analyzed with classification and prediction algorithms using the WEKA program. The impact of environmental data on water consumption and plant height was transformed into a mathematical equation.

Keywords

• Digital Agriculture
• Regression Analysis
• Water Consumption
• WEKA Program
• Wireless Sensor Network

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