Publications at this Location

ARS scientists publish results of their research projects in many formats. Listed below are the publications from research projects conducted at this location.

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2025 Publications (listed by order of acceptance date)

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Displaying 1 to 11 of 11 Records

	A dynamic approach for corn yield prediction to ensure agricultural resilience in the U.S. Midwest (Peer Reviewed Journal)	(6-Aug-25)
	Over-seeded cool-season annuals for cover crop or forage roles in warm-season perennial grass pastures (Peer Reviewed Journal)	(31-Jul-25)
	TDR-Transformer: A transformer neural network model to determine soil relative permittivity variations along a time domain reflectometry sensor waveguide (Peer Reviewed Journal)	(2-Jul-25)
	Intra-specific interactions disrupted the nutrient dynamics and multifactorial responses (drought and salinity) in dalbergia odorifera in a pure planting system (Peer Reviewed Journal)	(17-Jun-25)
	Past and future changes in potato production vulnerabilities in Maine, USA (Peer Reviewed Journal)	(12-Jun-25)
	Application of a new soil data aggregation method to project irrigation water requirements at a watershed scale (Peer Reviewed Journal)	(9-Jun-25)
	The decomposition and nutrient release dynamics of mixed cover crops in a no-till row crop rotation (Peer Reviewed Journal)	(6-Jun-25)
	PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments (Peer Reviewed Journal)	(24-Apr-25)
	Sensitivity of sun-induced chlorophyll fluorescence (SIF) and hyperspectral reflectance to drought response in soybean genotypes with contrasting affinities for arbuscular mycorrhizal fungi (Peer Reviewed Journal)	(22-Mar-25)
	Assessing fiber quality variability among modern upland cotton cultivars and incorporating it into the GOSSYM-based fiber quality simulation model (Peer Reviewed Journal)	(17-Mar-25)
	Process-based vegetative growth model for cereal rye winter cover crop using object-oriented programming and linked-list data structure (Peer Reviewed Journal)	(11-Jan-25)