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Editorial: Plant-based solutions for sustainable agriculture and environmental remediation
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DOI：10.3389/fpls.2025.1729054.png)
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sustainable agriculture (Yeasmin et al.; 2024;Wu et al.; 2024;Dong et al.; 2024). In this context; Guo et al (2025) introduce Bio-DANN; an integrated framework that couples process based biogeochemical simulation with deep learning for dynamic pollutant monitoring and ecological restoration in agricultural waste systems. Bio-DANN mechanistically simulates plant mediated absorption; transformation; and degradation of contaminants; while ingesting environmental sensor streams (e.g.; soil moisture and temperature) to train attention-based neural networks. By fusing phytoremediation processes with data driven inference; Bio-DANN delivers accurate predictions of pollutant concentrations and restoration trajectories; outperforming prior approaches in real time monitoring and multidimensional ecological assessment.Concurrently; Nazary et al. ( 2025) highlight the value of integrating molecular and environmental data to guide sustainable cultivation and conservation. ITS-based phylogenetic analysis of Iranian Papaver species revealed complex evolutionary relationships and introgression; while phytochemical profiles; dominated by phenolics; flavonoids; and alkaloids; correlated more strongly with environmental variables (e.g.; humidity; elevation) than genetic distance. Among the genotypes evaluated; P. hybridum exhibited the highest antioxidant activity; while P. macrostomum and P. dubium showed higher flavonoid and anthocyanin levels; underscoring their pharmaceutical potential. Valorizing locally adapted underutilized crops and crop wild relatives has proven effective in sustaining key ecosystem services and promoting more sustainable agrifood chains; in part because these species often require fewer chemical inputs (Silva et al.; 2025). Their inclusion in diversified cropping systems can therefore help reduce pesticide dependency; a global concern associated with biodiversity loss; declining water quality; harm to non-target organisms; and the spread of resistant pest populations. Beyond pests; weeds remain a major challenge because they compete with crops for nutrients; water; and light; frequently driving additional fertilizer use to offset yield losses. Addressing weed competition; Li et al. (2025b) investigated targeted mutations in the EPSPS gene; which encodes a key enzyme of the shikimate pathway; to enhance glyphosate resistance in Nicotiana tabacum; allowing for lower application frequency and dosage; and potentially reducing environmental contamination and herbicide runoff. In addition; transgenic lines showed improved oxidative stress resilience; which could support plant survival in degraded or polluted soils; thus contributing to agroecosystem stability.Collectively; this Research Topic illustrates how plant-based solutions can deliver measurable gains in productivity; resilience; and environmental quality; particularly when deployed as integrated systems rather than isolated interventions. From nutrient cycling in ancient forest stands to microbial modulation in arid orchards; from phytochemical diversity in underutilized species to AI-enhanced pollutant monitoring; the evidence is clear: plantbased solutions thrive when embedded in systems thinking; supported by robust data; and aligned with ecological principles. Effective implementation will depend on participatory codesign of resilient landscapes with farmers; foresters; and local communities; in which biodiversity is valued; external inputs reduced; and ecosystem services quantified and incentivized. As such; the path forward demands not only innovation but integration; where transdisciplinary research converges to embed evidence-based insights into holistic; systemoriented decision-making frameworks.
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