Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Andrew W Howell"'
Autor:
Andrew W. Howell, Ramon G. Leon, Wesley J. Everman, Helena Mitasova, Stacy A.C. Nelson, Robert J. Richardson
Publikováno v:
Weed Technology. :1-25
Unoccupied aerial application systems (UAAS) are gaining popularity for weed management to increase applicator safety and to deliver herbicide treatments where treatment sites limit ground-based spray equipment. Several studies have documented UAAS a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8e626a4c44d704b9fb697e907ca03b4
https://doi.org/10.1017/wet.2023.32
https://doi.org/10.1017/wet.2023.32
Autor:
Erika J Haug, Andrew W Howell, Benjamin P Sperry, Christopher R Mudge, Robert J Richardson, Kurt D Getsinger
Publikováno v:
Weed Technology. :1-23
Invasive emergent and floating macrophytes can have detrimental impacts on aquatic ecosystems. Management of these aquatic weeds frequently relies upon foliar application techniques with aquatic herbicides. However, there is inherent variability of o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65e83d3ebe4bf0a0f51f6346d50af68e
https://doi.org/10.1017/wet.2023.26
https://doi.org/10.1017/wet.2023.26
Publikováno v:
Invasive Plant Science and Management. :1-26
Expanding the current aquatic herbicide portfolio, reducing total spray volumes, or remotely delivering herbicide using novel spray technologies could improve management opportunities targeting invasive aquatic plants, where options are more limited.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71fffb20f1af60c03fec11d9408643dc
https://doi.org/10.1017/inp.2023.16
https://doi.org/10.1017/inp.2023.16
Autor:
Jackson E. Perrin, Shaphan R. Jernigan, Jacob D. Thayer, Andrew W. Howell, James K. Leary, Gregory D. Buckner
Publikováno v:
Robotics, Vol 11, Iss 4, p 68 (2022)
Recent advances in deep learning, including the development of AlexNet, Residual Network (ResNet), and transfer learning, offer unprecedented classification accuracy in the field of machine vision. A developing application of deep learning is the aut
Externí odkaz:
https://doaj.org/article/741ac2767f644bd3bb83f9b8ea72af61
Publikováno v:
Invasive Plant Science and Management. 15:133-140
Invasive aquatic plants constantly threaten freshwaters and associated environs globally. Water resource managers frequently seek new control tactics to combat invasive macrophytes, especially when the availability of herbicides registered for submer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0186c7bf4903decb21ea3520d660872e
https://doi.org/10.1017/inp.2022.22
https://doi.org/10.1017/inp.2022.22
Autor:
Andrew W. Howell, Robert J. Richardson
Publikováno v:
Aquatic Botany. 155:45-51
Invasive macrophytes, such as non-native Hydrilla verticillata, negatively affect lentic systems of the Southeastern United States by impeding recreational activities and power generation as well as disrupting intrinsic ecological function. Expenditu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2465d0f6f790f3a818ffaf453ff9f506
https://doi.org/10.1016/j.aquabot.2019.02.001
https://doi.org/10.1016/j.aquabot.2019.02.001
Autor:
Andrew W. Howell, Christopher Serenari, Conner R. Burke, Rene X. Valdez, M. Nils Peterson, Michael D. Drake
Publikováno v:
Urban Ecosystems. 22:127-135
Shifting demographics among angling communities mean that managers may need different amenities at fishing sites to satisfy new constituents. Anglers approach recreational fishing from diverse demographic and cultural perspectives which influence the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a5a3b38cdd625a5166bae5586b6aa8d
https://doi.org/10.1007/s11252-018-0800-8
https://doi.org/10.1007/s11252-018-0800-8
Autor:
Andrew W. Howell, Robert J. Richardson
Publikováno v:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV.
With the advent of sUAS, research scientists and plant managers are capable of obtaining unique, fast, and low-cost quantitative data, which delivers many repeatable survey options. Benefits of autonomous sUAS platforms include minimal training, redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cff10dafe8c04339ff2922a63f5340ca
https://doi.org/10.1117/12.2519199
https://doi.org/10.1117/12.2519199