FisioKlima-AgroSosT
FisioKlima-AgroSosT
Taldekideak
Proiektuak
Ikerketa-lerroak
Publikazioak
Ikasleen prestakuntza
Lankidetza-sarea
Euskara
Euskara
English
Español
{LabelStoma}: A tool for stomata detection based on the {YOLO} algorithm
Angela Casado-García
,
Arantza del Canto
,
Alvaro Sanz-Saez
,
Usue Perez-Lopez
,
Amaia Bilbao-Kareaga
,
Felix B. Fritschi
,
Jon Miranda-Apodaca
,
Alberto Munoz-Rueda
,
Anna Sillero-Martínez
,
Ander Yoldi Achalandabaso
,
Maite Lacuesta
,
Jonathan Heras
2020-01-01
Mota
Aldizkari-artikulua
Argitalpena
Computers and Electronics in Agriculture, (178),
pp. 105751
,
https://doi.org/10.1016/j.compag.2020.105751
Hurrengoa
N metabolism performance in Chenopodium quinoa subjected to drought or salt stress conditions
Aurrekoa
Changes in environmental {CO}2 concentration can modify Rhizobium-soybean specificity and condition plant fitness and productivity
Erlazionatuta
Changes in environmental {CO}2 concentration can modify Rhizobium-soybean specificity and condition plant fitness and productivity
Selected indigenous drought tolerant rhizobium strains as promising biostimulants for common bean in Northern Spain
Deep Detection Models for~Measuring Epidermal Bladder Cells
Soybean Inoculated With One Bradyrhizobium Strain Isolated at Elevated [{CO}2] Show an Impaired C and N Metabolism When Grown at Ambient [{CO}2]
A physiological approach to study the competition ability of the grassland species Trifolium pratense and Agrostis capillaris
Aipuak
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