This article proposes an energy-balance-based regressive model to evaluate the plant physiology in the hydroponics part of an aquaponics system. It can monitor the growth of plant at different stages and assess whether the plant is in a healthy and suitable state according to the accumulative evapotranspiration mass of water and the environmental climate data. The model uses the wet-bulb temperature as a humidity-related parameter and uses the wet-bulb depression to simplify the estimation of the sensible heat conduction between the system and environment. To facilitate the calculation of wet-bulb temperature, the novel formulae for calculating wet-bulb temperature has also been introduced. The model-based bio-environmental monitoring can provide the quantified information beyond vision and can be applied to remote unmanned management and monitoring.