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)

Current View: Peer Reviewed Publications Only

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Displaying 21 to 33 of 33 Records

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	Predicting select soil health genes using hyperspectral reflectance in nematode-infected and drought stressed greenhouse cotton (Peer Reviewed Journal)	(7-Mar-25)
	Impacts of abiotic stresses on cotton physiology and vigor under current and future CO2 levels (Peer Reviewed Journal)	(3-Mar-25)
	Comparing the efficiency of RGB and multispectral sensors for broadleaf and grass weeds identification in soybean fields using UAV (Peer Reviewed Journal)	(26-Feb-25)
	Improving Wheat Yield Prediction with Multi-Source Remote Sensing Data and Machine Learning in Arid Regions (Peer Reviewed Journal)	(21-Feb-25)
	A comparative study of deep reinforcement learning for crop 1 production management (Peer Reviewed Journal)	(20-Feb-25)
	Sweet potato yield prediction using machine learning based on multispectral images acquired from a small unmanned aerial vehicle (Peer Reviewed Journal)	(14-Feb-25)
	Soybean yield modeling and analysis with weather dynamics in the Greater Mississippi River Basin (Peer Reviewed Journal)	(4-Feb-25)
	Integrated approaches to maximizing fall armyworm resistance in maize (Peer Reviewed Journal)	(30-Jan-25)
	Comparison of infestation rates of fall armyworm (Lepidoptera: Noctuidae) neonates for maize resistance screening (Peer Reviewed Journal)	(29-Jan-25)
	Soil aggregates stability and erodibility as influenced by soil amendments and winter cover crop in upland soils (Peer Reviewed Journal)	(25-Jan-25)
	Transcriptome profiling and RNA-Seq SNP analysis of reniform nematode (Rotylenchulus reniformis) resistant cotton (Gossypium hirsutum) identifies activated defense pathways and candidate resistance genes (Peer Reviewed Journal)	(23-Jan-25)
	Integrating reinforcement learning and large language models for crop production process management optimization and control through a new knowledge-based deep learning paradigm (Peer Reviewed Journal)	(22-Jan-25)
	Integrated effects of tillage and fertilizer sources with cover crop on dryland cotton (Peer Reviewed Journal)	(10-Jan-25)

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