Agrogeophysics applies geophysical methods such as electrical resistivity tomography, electromagnetic induction, ground-penetrating radar, seismic and other techniques, across platforms ranging from hand-held instruments and ground-based systems to drone- and satellite-borne sensors, to characterise spatial and temporal patterns and processes in the soil-water-plant continuum that are relevant for agronomic management. Being minimally invasive, spatially exhaustive, multi-scale and repeatable in time, these methods give access to information of states and processes in agroecosystems that conventional point-based monitoring cannot provide, and they are increasingly used to support sustainable, water-efficient and climate-resilient farming.
This session brings together contributions that monitor, map or model soil and plant properties and states of agronomic relevance, including texture and structure, salinity, compaction, water content and fluxes, rooting depth and root-zone dynamics, soil organic carbon, drainage and irrigation performance; develop and apply proximal or remote sensing approaches to soil-water-plant interactions; bridge the scale gap between laboratory, plot, field, farm and landscape; establish and test pedophysical relationships linking sensed properties to soil and plant variables of interest; fuse geophysical data with agronomic, soil sampling, remote sensing and yield data; integrate geophysical observations into hydrological, crop and root-water-uptake models, data assimilation schemes or digital twins; exploit machine learning and other data-driven tools for acquisition design, inversion, interpretation and upscaling.
We particularly welcome work on operational use in real farming systems, benchmark datasets and open data and software, uncertainty quantification, and the translation of geophysical information into decision support, advisory services and soil monitoring policy.