DEVELOPMENT OF BIO-PHOTONIC FEEDBACK SYSTEMS FOR REAL-TIME PHENOTYPIC RESPONSE MONITORING IN INDOOR CROPS

Advancements in controlled environment agriculture (CEA) demand increasingly precise, responsive, andautonomous systems to manage crop health and optimize yields. One emerging innovation in this domain is theintegration of bio-photonic feedback systems, which enable continuous monitoring of real-time phenotypicresponses in plants using optical sensing technologies. This paper explores the development and application ofsuch systems, highlighting their potential to transform plant phenotyping through non-invasive, high-resolutionobservation of physiological and morphological changes. At the core of these systems are spectrally-tuned opticalsensors—such as hyperspectral cameras, laser-induced fluorescence sensors, and chlorophyll fluorescenceimaging devices—that capture vital plant indicators, including photosynthetic efficiency, pigment dynamics,stress signaling, and water status. By decoding bio-photonic signatures across multiple wavelengths, these systemsprovide detailed insight into crop responses to environmental stimuli, such as light, nutrients, humidity, and CO₂levels. When integrated with AI-powered analytics and smart feedback controllers, bio-photonic systems canfacilitate closed-loop decision-making for dynamic input regulation, early stress detection, and yield prediction.This paper further examines the architectural design of such platforms, including sensor fusion, calibrationprotocols, and edge computing for low-latency data processing. Several case studies demonstrate the utility ofreal-time phenotyping in lettuce, basil, and tomato crops, revealing measurable improvements in resourceefficiency and stress mitigation. Challenges related to data noise, cost, and scalability are also addressed, alongwith recommendations for enhancing interoperability in smart agritech ecosystems. By bridging plant physiology,photonics, and intelligent systems design, bio-photonic feedback platforms offer a new paradigm in indoor cropmonitoring—enabling responsive agriculture that is both precise and biologically attuned.