Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Luca Bondesan"'
Autor:
Hemendra Kumar, Puneet Srivastava, Jasmeet Lamba, Bruno Lena, Efstathios Diamantopoulos, Brenda Ortiz, Bijoychandra Takhellambam, Guilherme Morata, Luca Bondesan
Publikováno v:
Agricultural Water Management, Vol 286, Iss , Pp 108385- (2023)
The determination of field capacity (FC), irrigation thresholds, and irrigation amounts is characterized by site-specific soil hydraulic properties (SHPs). This study, conducted in two zones (zone 1 and zone 2) delineated based on soil, topography, a
Externí odkaz:
https://doaj.org/article/f68019fa14684b8aaaa3a7aa4d98be56
Autor:
Luca Bondesan, Brenda V. Ortiz, Franciele Morlin, Guilherme Morata, Leah Duzy, Edzard van Santen, Bruno P. Lena, George Vellidis
Publikováno v:
Precision Agriculture. 24:40-67
Adoption of water-conservation irrigation practices could potentially reduce water and energy use and increase profitability, as well as protect the environment. Precision irrigation consisting of soil sensors (SS) for irrigation scheduling and varia
Autor:
Luca Bondesan, Puneet Srivastava, Brenda V. Ortiz, Jasmeet Lamba, Guilherme Morata, Bijoychandra S. Takhellambam, Hemendra Kumar
Publikováno v:
Transactions of the ASABE. 64:1277-1294
HighlightsThe greatest heterogeneity in soil water was observed at 30-60 cm depth in a corn field and 0-15 cm in a cotton field.Spatiotemporal soil water variability did not increase with increasing soil water in all soil layers in both croplands dur
Publikováno v:
Precision Agriculture. 22:475-492
The metabolism and growth of vegetation are highly dependent on the changes in soil water content. Irrigation scheduling and application of water at the right time and rate are a key aspect for precision irrigation. In this study, the Long Short-Term
Autor:
Hemendra Kumar, Puneet Srivastava, Jasmeet Lamba, Efstathios Diamantopoulos, Brenda Ortiz, Guilherme Morata, Bijoychandra Takhellambam, Luca Bondesan
Publikováno v:
Agricultural Water Management. 273:107877
Autor:
Damianos Damianidis, Brenda V. Ortiz, Guilherme Morata, Andres Fernando Jimenez, Luca Bondesan
Publikováno v:
Transactions of the ASABE. 63:1327-1348
HighlightsNARX and LSTM recurrent neural networks were evaluated for prediction of irrigation prescriptions.LSTM neural networks presented the best performance for irrigation scheduling using soil matric potential sensors.NARX neural networks had the
Autor:
Everton Alves Rodrigues Pinheiro, Bruno Patias Lena, Luca Bondesan, Hemendra Kumar, Guilherme Morata, Brenda V. Ortiz
Publikováno v:
2021 ASABE Annual International Virtual Meeting, July 12-16, 2021.
The objective of this study was to evaluate the impact of different negligible drainage flux on estimated ψfc using in internal drainage flux-based HYDRUS 1D simulations for major agronomic soil in Alabama state. A total of 14 sampling locations at
Autor:
Bruno Patias Lena, Guilherme Morata, Everton Alves Rodrigues Pinheiro, Hemendra Kumar, Luca Bondesan, Brenda V. Ortiz
Publikováno v:
Agricultural Water Management. 259:107234
The use of soil matric potential (ψ) sensors to support irrigation decisions has become common practice among many producers. However, ψ values at which irrigation should be initiated (ψlim) based on a pre-defined irrigation depth is still lacking
Autor:
Damianos Damianidis, Brenda V. Ortiz, Luca Bondesan, George Vellidis, Guilherme Morata, A.F. Jimenez, Francesco Morari
Publikováno v:
Precision agriculture ’19.
Publikováno v:
Precision agriculture ’19.