Virtual farmer: Controlling phytochrome signaling in plants through cyber-physical system

Abstract

Objective: Under external environment stimuli, seedlings undergo variation of morphology and alterations in their genetic sequences. Phytochrome signaling, i.e., feedback reaction of plants to photons and other nutrient cycle plays a crucial role in its maturation. Method: In this research work, we create a cyber-physical system to control such morphogenesis of plants through the help of artificial intelligence framework which identifies and control the crucial feedback between plants’ genetic transcription with respect to the external stimuli such as nutrients, electricity, and magnetism. Results and Discussion: This leads a plant to autonomously grow without its disadvantageous traits by destabilizing its negatively acting transcriptional regulators and enhance the plant’s advantageous features by controlling its positively acting transcriptional regulators. This has led us to control the plant metabolism, plant growth without soil, manipulate the immunity of plant against disease, develop a plant metabolic profile, and maximize its yield deprived off from its seasonal attribute.