Zobrazeno 1 - 10
of 304
pro vyhledávání: '"M. A. Neale"'
Autor:
Justin Gibson, Trenton E. Franz, Troy Gilmore, Derek Heeren, John Gates, Steve Thomas, Christopher M. U. Neale
Publikováno v:
Water, Vol 16, Iss 20, p 2910 (2024)
Ongoing investments in irrigation technologies highlight the need to accurately estimate the longevity and magnitude of water savings at the watershed level to avoid the paradox of irrigation efficiency. This paradox arises when irrigation pumping ex
Externí odkaz:
https://doaj.org/article/3cf5708265174fc68922120e0288e1af
Autor:
Qiao Hu, Ligang Zhang, Jeff Drahota, Wayne Woldt, Dana Varner, Andy Bishop, Ted LaGrange, Christopher M. U. Neale, Zhenghong Tang
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1081 (2024)
Recent developments in Unmanned Aircraft Vehicles (UAVs), thermal imaging, and Auto-machine learning (AutoML) have shown high potential for precise wildlife surveys but have rarely been studied for habitat assessment. Here, we propose a framework tha
Externí odkaz:
https://doaj.org/article/c552f7ca109e4e9491d96e826f5cff1b
Autor:
Pragya Singh, Vinay Kumar Sehgal, Rajkumar Dhakar, Christopher M. U. Neale, Ivo Zution Goncalves, Alka Rani, Prakash Kumar Jha, Deb Kumar Das, Joydeep Mukherjee, Manoj Khanna, Swatantra Kumar Dubey
Publikováno v:
Water, Vol 16, Iss 3, p 422 (2024)
With the increasing water scarcity and the demand for sustainable agriculture, precise estimation of crop evapotranspiration (ET) is crucial for effective irrigation management, crop yield assessment, and equitable water distribution, particularly in
Externí odkaz:
https://doaj.org/article/2a86577835ba4d8ba1b8ea5ec832c481
Autor:
Sophia M. Becker, Trenton E. Franz, Olufemi Abimbola, Dean D. Steele, J. Paulo Flores, Xinhua Jia, Thomas F. Scherer, Daran R. Rudnick, Christopher M. U. Neale
Publikováno v:
Vadose Zone Journal, Vol 21, Iss 6, Pp n/a-n/a (2022)
Abstract A study was conducted at three sites in North Dakota to strengthen understanding of the usefulness of different proximal geophysical data types in agricultural contexts of varying pedology. This study hypothesizes that electromagnetic induct
Externí odkaz:
https://doaj.org/article/a619488e178a4f8f9ec15788cd17b3df
Autor:
Robson Argolo dos Santos, Everardo Chartuni Mantovani, Elpídio Inácio Fernandes-Filho, Roberto Filgueiras, Rodrigo Dal Sasso Lourenço, Vinícius Bof Bufon, Christopher M. U. Neale
Publikováno v:
Atmosphere, Vol 13, Iss 9, p 1518 (2022)
The modernization of computational resources and application of artificial intelligence algorithms have led to advancements in studies regarding the evapotranspiration of crops by remote sensing. Therefore, this research proposed the application of m
Externí odkaz:
https://doaj.org/article/e36eedcb510441aab6fe39c6a744b494
Autor:
Hamidreza Vosoughifar, Helaleh Khoshkam, Sayed M. Bateni, Changhyun Jun, Tongren Xu, Shahab S. Band, Christopher M. U. Neale
Publikováno v:
Hydrological Sciences Journal. 68:91-107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96c96065f319271fd7874a037e746501
https://doi.org/10.1080/02626667.2022.2142473
https://doi.org/10.1080/02626667.2022.2142473
Autor:
Jasreman Singh, Yufeng Ge, Derek M. Heeren, Elizabeth Walter-Shea, Christopher M. U. Neale, Suat Irmak, Mitchell S. Maguire
Publikováno v:
Sensors, Vol 22, Iss 5, p 1863 (2022)
Agriculture is considered a hotspot for wireless sensor network (WSN) facilities as they could potentially contribute towards improving on-farm management and food crop yields. This study proposes six designs of unmanned aerial system (UAS)-enabled d
Externí odkaz:
https://doaj.org/article/4e7de5511b914780afe1b58301d5beca
Autor:
Sina Paryani, Mojgan Bordbar, Changhyun Jun, Mahdi Panahi, Sayed M. Bateni, Christopher M. U. Neale, Hamidreza Moeini, Saro Lee
Publikováno v:
Natural Hazards. 116:837-868
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3609993d0d7ad63a75c208c3baf951f0
https://doi.org/10.1007/s11069-022-05701-4
https://doi.org/10.1007/s11069-022-05701-4
Autor:
Ricardo Gava, Jefferson L. Anselmo, Christopher M. U. Neale, José A. Frizzone, Aguinaldo J. F. Leal
Publikováno v:
Engenharia Agrícola, Vol 37, Iss 3, Pp 441-452 (2017)
ABSTRACT Planting density can influence the competitiveness among plants mainly by water, nutrients and solar radiation, directly affecting yield. The purpose of this study was to evaluate the productivity of different soybean cultivars at different
Externí odkaz:
https://doaj.org/article/74b5caefd3594eae9247402ea4e98cbb
Autor:
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, Changhyun Jun, Christopher M. U. Neale, Saro Lee
Publikováno v:
Natural Hazards. 114:1247-1283
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f0e221370b0d3e8be9979ba0e13db19
https://doi.org/10.1007/s11069-022-05424-6
https://doi.org/10.1007/s11069-022-05424-6