Big data in agriculture: A challenge for the future KH Coble, AK Mishra, S Ferrell, T Griffin Applied Economic Perspectives and Policy 40 (1), 79-96, 2018 | 360 | 2018 |
Adoption, profitability, and making better use of precision farming data TW Griffin, J Lowenberg-DeBoer, DM Lambert, J Peone, T Payne, ... Staff paper, 2004 | 164* | 2004 |
In-field movement of glyphosate-resistant Palmer amaranth (Amaranthus palmeri) and its impact on cotton lint yield: evidence supporting a zero-threshold strategy JK Norsworthy, G Griffith, T Griffin, M Bagavathiannan, EE Gbur Weed Science 62 (2), 237-249, 2014 | 138 | 2014 |
On-farm experimentation to transform global agriculture M Lacoste, S Cook, M McNee, D Gale, J Ingram, V Bellon-Maurel, ... Nature Food 3 (1), 11-18, 2022 | 134 | 2022 |
Farm’s sequence of adoption of information-intensive precision agricultural technology TW Griffin, NJ Miller, J Bergtold, A Shanoyan, A Sharda, IA Ciampitti Applied Engineering in Agriculture 33 (4), 521, 2017 | 134* | 2017 |
Worldwide adoption and profitability of precision agriculture Implications for Brazil TW Griffin, J Lowenberg-DeBoer Revista de Politica Agricola 14 (4), 20-37, 2005 | 110 | 2005 |
Economics of lightbar and auto-guidance GPS navigation technologies T Griffin, D Lambert, J Lowenberg-DeBoer Precision agriculture 5, 581-587, 2005 | 87* | 2005 |
Duration analyses of precision agriculture technology adoption: what's influencing farmers' time-to-adoption decisions? E Ofori, T Griffin, E Yeager Agricultural Finance Review, 2020 | 86* | 2020 |
Farm adoption of embodied knowledge and information intensive precision agriculture technology bundles NJ Miller, TW Griffin, IA Ciampitti, A Sharda Precision Agriculture 20, 348-361, 2019 | 83 | 2019 |
Early-season stand count determination in corn via integration of imagery from unmanned aerial systems (UAS) and supervised learning techniques S Varela, PR Dhodda, WH Hsu, PVV Prasad, Y Assefa, NR Peralta, ... Remote Sensing 10 (2), 343, 2018 | 82 | 2018 |
Spatial analysis of yield monitor data: Case studies of on-farm trials and farm management decision making TW Griffin, CL Dobbins, TJ Vyn, RJGM Florax, JM Lowenberg-DeBoer Precision Agriculture 9, 269-283, 2008 | 75 | 2008 |
Economics of precision farming TW Griffin, JM Shockley, TB Mark Precision agriculture basics, 221-230, 2018 | 66 | 2018 |
Precision Agriculture in the Digital Era: Recent Adoption on U.S. Farms J McFadden, E Njuki, T Griffin https://www.ers.usda.gov/webdocs/publications/105894/eib-248.pdf?v=5696.8, 2023 | 55 | 2023 |
Adoption and use of precision agriculture technologies by practitioners AT Winstead, SH Norwood, TW Griffin, M Runge, AM Adrian, J Fulton, ... Proc. the 10th International Conference on Precision Agriculture, 18-21, 2010 | 49 | 2010 |
The spatial analysis of yield data TW Griffin Geostatistical applications for precision agriculture, 89-116, 2010 | 48* | 2010 |
How cooperation may lead to consensus assessing the realities and perceptions of precision farming in your state J Popp, T Griffin, E Pendergrass The Journal of the ASFMRA, 26, 2002 | 48* | 2002 |
From field experiments to regional forecasts: Upscaling wheat grain and forage yield response to acidic soils RP Lollato, TE Ochsner, DB Arnall, TW Griffin, JT Edwards Agronomy Journal 111 (1), 287-302, 2019 | 46 | 2019 |
Advancing US agricultural competitiveness with big data and agricultural economic market information, analysis, and research K Coble, T Griffin, M Ahearn, S Ferrell, J McFadden, S Sonka, J Fulton | 45 | 2016 |
The digitalisation of agriculture: A literature review and emerging policy issues J McFadden, F Casalini, T Griffin, J Antón OECD, 2022 | 44 | 2022 |
Analyzing the nozzle spray fan pattern of an agricultural sprayer using pulse width modulation technology to generate an on-ground coverage map DL Mangus, A Sharda, A Engelhardt, D Flippo, R Strasser, JD Luck, ... Transactions of the ASABE 60 (2), 315-325, 2017 | 44 | 2017 |