Quantum Agriculture 2.0: A Critical Integrative Review of Molecular Exciton Dynamics, Quantum Sensing and Satellite Artificial Intelligence for Climate-Resilient Farming

Review History

Published: 2026-09-12

DOI: 10.9734/bpi/kitsr/v1/7887

Page: 66-96


Ing. José Antonio Valles Romero

University of the Incarnate Word, San Antonio, Texas, United States.

Gerardo Manuel Alonzo Medina

National Technological Institute of Mexico, Mexico.

Emilio Raymundo Morales Maldonado *

National Technological Institute of Mexico, Mexico.

*Author to whom correspondence should be addressed.


Abstract

The label quantum agriculture has begun to circulate across three largely disconnected research communities: the photophysics of excitation energy transfer in photosynthetic light-harvesting complexes, the engineering of quantum-enabled measurement devices, and the machine-learning analysis of satellite observations for crop monitoring. This review examines whether these strands constitute a coherent scientific programme or an assemblage held together mainly by a shared adjective. Peer-reviewed literature published between 1985 and 14 June 2026 was retrieved from open scholarly databases and indexes, supplemented by backward and forward citation searching and by targeted retrieval of correction notices and formal comment-and-response exchanges. Evidence was appraised for design adequacy, replication, ecological validity and the distance between mechanistic plausibility and demonstrated agronomic effect. Three findings dominate the synthesis. First, the claim that long-lived electronic coherence confers a functional advantage on photosynthetic energy transfer has been substantially revised, and the residual case now rests on vibronic mixing rather than on purely electronic coherence; the agronomically consequential photophysics lies instead in the regulation of excitation dissipation, where field evidence is genuinely contested across species. Second, quantum-enabled sensing offers demonstrable metrological gains in magnetometry, gravimetry and photon-limited imaging, but almost no peer-reviewed study has yet measured an agronomic decision variable in a working field with a quantum sensor, and several agricultural applications described as quantum rely on nanomaterial fluorescence rather than on quantum-enhanced metrology. Third, solar-induced chlorophyll fluorescence provides the only continuous physical chain from excited-state fate to orbital observation, yet recent evaluations show that machine-learning reconstructions of this signal decouple from stomatal behaviour precisely under the dry conditions that matter most for climate resilience. The integrative claim implied by the phrase quantum agriculture is therefore premature at the level of technology, but defensible at the level of measurement theory. Priorities for research include multi-species field trials of photoprotective engineering, standardised readiness reporting for field-deployed quantum instruments, and physiologically constrained fluorescence retrieval and modelling.

Keywords: Excitation energy transfer, non-photochemical quenching, solar-induced chlorophyll fluorescence, nitrogen-vacancy magnetometry, atom interferometry, Earth observation foundation models, climate-resilient cropping systems


How to Cite

Romero, I. J. A. V., Medina, G. M. A., & Maldonado, E. R. M. (2026). Quantum Agriculture 2.0: A Critical Integrative Review of Molecular Exciton Dynamics, Quantum Sensing and Satellite Artificial Intelligence for Climate-Resilient Farming. Knowledge, Innovation and Technology in Scientific Research Vol. 1, 66–96. https://doi.org/10.9734/bpi/kitsr/v1/7887