Identification of Water Deficiency and Photosynthesis in Short-Term Plant Growth Under Random Variation of the Environment

Abstract Recent advances in environmental control in protected cultivation (modern agriculture) have been remarkable. Identification of water deficiency and photosynthesis is essential for the optimal control of plant growth. In the present report, identification of water deficiency and photosynthesis is examined by monitoring the leaf temperature and water content in the stem in a computer controlled growth chamber as well as by analog simulation of a mathematical model. The responses of leaf temperature and water content in the stem caused by environmental inputs of a random binary signal are examined by spectral analysis. The method is found to be effective in the identification of plant growth.