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ARS Home » Plains Area » Temple, Texas » Grassland Soil and Water Research Laboratory » People & Locations » Chad Hajda

Chad Hajda
Grassland Soil and Water Research Laboratory
Agricultural Science Research Technician

Phone: (254) 770-6558
Fax: (254) 770-6561

(Employee information on this page comes from the REE Directory. Please contact your front office staff to update the REE Directory.)


Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
Understanding within-field variation in Nitrogen Use Efficiency (NUE) using proximal sensing, field observations, and machine learning - (Abstract Only)
Yield stability zonation as a generic tool for precision conservation decisions in agriculture fields - (Abstract Only)
On-the-go sensing to map soil and nutrient levels and its relationship with corn yield and grain quality - (Abstract Only)
Within-field yield stability and gross margin variations across corn fields and implications for precision conservation Reprint Icon - (Peer Reviewed Journal)
Adhikari, K., Smith, D.R., Hajda, C.B., Kharel, T.P. 2023. Within-field yield stability and gross margin variations across corn fields and implications for precision conservation. Precision Agriculture. 24(4):1401-1416. https://doi.org/10.1007/s11119-023-09995-7.
Optimizing agronomic management for soil health, water quality, crop production and profitability in the Texas Blackland Prairie - (Abstract Only)
Mapping within-field yield stability and gross margin variations for precision conservation decisions - (Abstract Only)
Adhikari, K., Smith, D.R., Hajda, C.B., Kharel, T.P. 2022. Mapping within-field yield stability and gross margin variations for precision conservation decisions. [abstract]. ASA-CSSA-SSSA International Annual Meeting. Paper No. 141510.
Mapping soil health and grain quality variations across a corn field in Texas - (Proceedings)
Adhikari, K., Smith, D.R., Hajda, C.B. 2022. Mapping soil health and grain quality variations across a corn field in Texas. In: Proceedings of the 15th International Conference on Precision Agriculture, June 26-29, 2022, Minneapolis, Minnesota. p. 1-5.
Mapping within-field soil health variations using apparent electrical conductivity, topography, and machine learning Reprint Icon - (Peer Reviewed Journal)
Adhikari, K., Smith, D.R., Collins, H.P., Hajda, C.B., Acharya, B.S., Owens, P.R. 2022. Mapping within-field soil health variations using apparent electrical conductivity, topography, and machine learning. Agronomy. 12. Article 1019. https://doi.org/10.3390/agronomy12051019.
Can soil health explain grain quality? A case study of a corn field in Texas Reprint Icon - (Peer Reviewed Journal)
Adhikari, K., Smith, D.R., Hajda, C.B., Owens, P.R. 2022. Can soil health explain grain quality? A case study of a corn field in Texas. Agricultural & Environmental Letters. 7. Article e20078. https://doi.org/10.1002/ael2.20078.
Vegetated treatment area (VTAs) efficiences for E. coli and nutrient removal on small-scale swine operations Reprint Icon - (Peer Reviewed Journal)
Harmel, R.D., Pampell, R., Gentry, T., Smith, D.R., Hajda, C.B., Wagner, K., Smith, P.K., Haney, R.L., Higgs, K.D. 2018. Vegetated treatment area (VTAs) efficiences for E. coli and nutrient removal on small-scale swine operations. International Soil and Water Conservation Research. 6(2):153-164. https://doi.org/10.1016/j.iswcr.2018.02.002.