Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Murilo M. Maeda"'
Autor:
Avay Risal, Haoyu Niu, Jose Luis Landivar-Scott, Murilo M. Maeda, Craig W. Bednarz, Juan Landivar-Bowles, Nick Duffield, Paxton Payton, Pankaj Pal, Robert J. Lascano, Timothy Goebel, Mahendra Bhandari
Publikováno v:
Water, Vol 16, Iss 9, p 1300 (2024)
The rapid decline in water availability for irrigation on the Texas High Plains (THP) is a significant problem affecting crop production and the viability of a large regional economy worth approximately USD 7 billion annually. This region is the larg
Externí odkaz:
https://doaj.org/article/fc81ca438a2a4cb5933d58c619705aed
Publikováno v:
International Journal of Biometeorology. 66:591-600
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab472e85af1f11a6068d8cb921ac89cf
https://doi.org/10.1007/s00484-021-02221-x
https://doi.org/10.1007/s00484-021-02221-x
Autor:
Alex J. Thomasson, Jinha Jung, Anjin Chang, Murilo M. Maeda, Steve Hague, Andrea Maeda, Don C. Jones, Juan Landivar, Wenzhou Wu, Akash Ashapure
Publikováno v:
Agronomy Journal. 114:331-339
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::293d8230764494c59531c3c78ed7bcf4
https://doi.org/10.1002/agj2.20902
https://doi.org/10.1002/agj2.20902
Autor:
Wayne Smith, Juan Landivar, Junho Yeom, Anjin Chang, Jinha Jung, Murilo M. Maeda, Andrea Maeda, Sungchan Oh, Steve Hague, Nothabo Dube, Akash Ashapure
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 169:180-194
In this research a machine learning framework was developed for cotton yield estimation using multi-temporal remote sensing data collected from unmanned aircraft system (UAS). The proposed machine learning model was based on an artificial neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8610b6f52de16c994ac121b707b7ae1
https://doi.org/10.1016/j.isprsjprs.2020.09.015
https://doi.org/10.1016/j.isprsjprs.2020.09.015
Publikováno v:
International journal of biometeorology. 66(3)
Pigments are known to modify the spectral properties of foliage, which in turn affect the amount of radiant energy stored by the plant canopy. Studies have shown that red pigments (anthocyanin) increase leaf absorptivity of solar radiation, but littl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0c715845a380f9d1d1f29f303cbc34bf
https://pubmed.ncbi.nlm.nih.gov/34988681
https://pubmed.ncbi.nlm.nih.gov/34988681
Autor:
Jinha Jung, Akash Ashapure, Andrea Maeda, Junho Yeom, Juan Landivar, Murilo M. Maeda, Anjin Chang
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 152:49-64
Recent years have witnessed enormous interest in the application of Unmanned Aerial Systems (UAS) for precision agriculture. This study presents a novel approach to use multi-temporal UAS data for comparison of two management practices in cotton, con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a484b7c75ecfd67f9da7c3c2077a3df6
https://doi.org/10.1016/j.isprsjprs.2019.04.003
https://doi.org/10.1016/j.isprsjprs.2019.04.003
Autor:
Juan Enciso, Anjin Chang, Murilo M. Maeda, Jose C. Chavez, Jinha Jung, Junho Yeom, S. Elsayed-Farag, Carlos A. Avila, Juan Landivar
Publikováno v:
Computers and Electronics in Agriculture. 158:278-283
Unmanned aerial vehicles (UAV) have been recognized as excellent tools to provide real time feedback of temporal and spatial conditions found in agricultural fields throughout the growing season. UAVs have also allowed accelerating breeding programs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baad44990ac76e9250e46edbd0952f48
https://doi.org/10.1016/j.compag.2019.02.011
https://doi.org/10.1016/j.compag.2019.02.011
Autor:
Murilo M. Maeda, J. Tom Cothren, James L. Heilman, Carlos J. Fernandez, Gaylon D. Morgan, Vladimir A. da Costa
Publikováno v:
Journal of Cotton Science. 23:118-130
Upland cotton (Gossypium hirsutum L.) is an important socioeconomic crop throughout most of the southern U.S. In Texas, cotton is the lead cash crop and its productivity is often limited by abiotic stress events such as drought and elevated ambient t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3353416550c8e396088b3e847b28e2b8
https://doi.org/10.56454/nhxj2340
https://doi.org/10.56454/nhxj2340
Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation
Autor:
Junho Yeom, Anjin Chang, Juan Anciso, Carlos A. Avila, Juan Landivar, Juan Enciso, Jinha Jung, Murilo M. Maeda
Publikováno v:
Journal of Sensors, Vol 2021 (2021)
Yield prediction and variety selection are critical components for assessing production and performance in breeding programs and precision agriculture. Since plants integrate their genetics, surrounding environments, and management conditions, crop p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93a6094f5e45095a73f3cb2d2a7468c3
Autor:
Murilo M. Maeda, Jinha Jung, Anjin Chang, Sungchan Oh, Daniel Lombraña González, Nothabo Dube, Juan Landivar, Akash Ashapure
Publikováno v:
Remote Sensing; Volume 12; Issue 18; Pages: 2981
Remote Sensing, Vol 12, Iss 2981, p 2981 (2020)
Remote Sensing, Vol 12, Iss 2981, p 2981 (2020)
Assessing plant population of cotton is important to make replanting decisions in low plant density areas, prone to yielding penalties. Since the measurement of plant population in the field is labor intensive and subject to error, in this study, a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86752fbf5bef22ac4626dfa16e623637