Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Monika N. P. Prihastyanti"'
Autor:
Rosita D. Chandra, Chandra A. Siswanti, Monika N. U. Prihastyanti, Heriyanto, Leenawaty Limantara, Tatas H. P. Brotosudarmo
Publikováno v:
International Journal of Food Science, Vol 2020 (2020)
Banana cultivars that are rich in provitamin A carotenoids and other nutrients may offer a potential food source to help alleviate vitamin A deficiencies, particularly in developing countries. The local plantain type banana, Agung Semeru (Musa paradi
Externí odkaz:
https://doaj.org/article/d59b9c9f6e444a8b8336d1cca9b83858
Autor:
Sherly Salsabila Azmi, Michelle L Indarto, Melisa Megawati Yusuf, Melina E Wijaya, Tatas H. P. Brotosudarmo, Heriyanto Heriyanto, Greta Jatiyati, Jovine Marcella Kurniawan, Mustafavi C Ilmi, Stefan C Hoetomo, Monika N. P. Prihastyanti
Publikováno v:
Indonesian Journal of Natural Pigments. 2:13
Purification procedures to obtain light-harvesting complexes were performed on two photosynthetic bacteria, i.e. Rhodospseudomonas (Rps.) palustris and Rhodobacter (Rb.) sphaeroides. In this study, purification was initially carried out using series
Autor:
Leenawaty Limantara, Marcelinus A. S. Adhiwibawa, Tatas H. P. Brotosudarmo, Samuel P. Yuwono, Monika N. P. Prihastyanti, Kestrilia Rega Prilianti
Publikováno v:
2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE).
Detecting plant nutrient deficiencies and evaluating fertilizer program are done by leaf tissue analysis. Unfortunately, this quantitative method is quite expensive and time consuming for traditional farmers due to its laboratory procedure. In this r
Autor:
Leenawaty Limantara, Monika N. P. Prihastyanti, Christian Tantono, Tatas H. P. Brotosudarmo, Marcelinus A. S. Adhiwibawa, Kestrilia Rega Prilianti
Publikováno v:
2013 International Conference on Information Technology and Electrical Engineering (ICITEE).
Nitrogen is one of the important nutrients elements for the growth of soybean plants. In this paper we propose mobile application that can be used nondestructively to estimate the nitrogen content of soybean leaves. We named this software “Mata Dau