Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Felix K. Abagale"'
Publikováno v:
Water Practice and Technology, Vol 19, Iss 5, Pp 1624-1643 (2024)
The study was carried out in the northern Ghana to estimate water inflows to nine reservoirs of irrigation dams for a period of 20 years (1999–2018) using the USDA Natural Resources Conservation Service Curve Number model. The key input parameters
Externí odkaz:
https://doaj.org/article/61f528698daf4ee2978cfb4f71de1aad
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
AbstractLanduse alteration is a critical factor that exerts influence over hydrological mechanisms and the oversight of water resources across the globe. Northern Ghana is characterized by erratic rainfall, leading to the intense construction of smal
Externí odkaz:
https://doaj.org/article/3aabdf342e23431ea52b2a3094e6d325
Publikováno v:
Cogent Engineering, Vol 10, Iss 2 (2023)
AbstractDrip irrigation’s potential to conserve irrigation water by around 25% compared to conventional methods is widely acknowledged. Nevertheless, the influence of varied irrigation control strategies on drip irrigation’s impact remains uncert
Externí odkaz:
https://doaj.org/article/4ef720b8db03452ebf80af2df435983d
Publikováno v:
Smart Agricultural Technology, Vol 5, Iss , Pp 100251- (2023)
In the face of increasing water scarcity and uncertainties of climate change, improving crop water use efficiency and productivity, while minimizing negative environmental impacts, is becoming crucial to meet the surging global food demand. Smart irr
Externí odkaz:
https://doaj.org/article/1d99248e2cb6418791afc5b1aa716830
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100528- (2024)
Measuring fruit mass and volume is a time-consuming and tedious task that can affect production planning. This study developed a computer vision system to estimate the volume and mass of baobab fruits from single-view images captured from inexpensive
Externí odkaz:
https://doaj.org/article/99770179c7b94a90aca130f6e62df24a
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100074- (2023)
The future of agriculture faces a threat from a changing climate and a rapidly growing population. This has put enormous pressure on water and land resources as more food is expected from less inputs. Advancement in smart agriculture through the use
Externí odkaz:
https://doaj.org/article/5c1bc8dae29347bc9dd2d400f85ba0a3
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 44, Iss , Pp 101254- (2022)
Study region: Omo-Gibe River Basin, Ethiopia Study focus: The objective of this study was to predict the impact of climate change on the future availability of water for irrigation and hydropower production. Climate change projections for the near fu
Externí odkaz:
https://doaj.org/article/902a7984f2c3400893a84476895a0f2b
Publikováno v:
Water Practice and Technology, Vol 16, Iss 4, Pp 1355-1369 (2021)
Effective management of reservoir sedimentation requires models that can predict sedimentation of the reservoirs. In this study, linear regression, non-linear exponential regression and artificial neural network models have been developed for the for
Externí odkaz:
https://doaj.org/article/cd14636832a64a889380329401918e1c
Publikováno v:
Heliyon, Vol 8, Iss 6, Pp e09711- (2022)
This study projected the impact of climate change on the amount of precipitation, seasonal distribution, and streamflow of the Omo-gibe basin, Ethiopia. Projections of climate change using the results of high-resolution multimodal ensembles from fift
Externí odkaz:
https://doaj.org/article/4c2acab557b8463c9148543edc84e39a
Autor:
Erion Bwambale, Felix K. Abagale
Publikováno v:
Encyclopedia of Smart Agriculture Technologies ISBN: 9783030891237
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b91c4c0021c6956446256ac3e02e33f5
https://doi.org/10.1007/978-3-030-89123-7_212-1
https://doi.org/10.1007/978-3-030-89123-7_212-1