Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mochamad Firman Ghazali"'
Autor:
Ketut Wikantika, Mochamad Firman Ghazali, Fenny M. Dwivany, Tri Muji Susantoro, Lissa Fajri Yayusman, Diah Sunarwati, Agus Sutanto
Publikováno v:
Diversity, Vol 15, Iss 10, p 1046 (2023)
Knowledge of the health of banana trees is critical for farmers in order to profit from banana cultivation. Fusarium wilt and banana blood disease (BBD), two significant diseases that infect banana trees, are caused by Fusarium oxysporum and Ralstoni
Externí odkaz:
https://doaj.org/article/132406299e2247d8874db6c3219fb909
Publikováno v:
Information Processing in Agriculture, Vol 7, Iss 2, Pp 294-306 (2020)
In an agricultural field, the water content and salt content are defined as soil moisture and soil salinity and have to be estimated precisely. The changing of these two factors can be assessed using remote sensing technology. This study was conducte
Externí odkaz:
https://doaj.org/article/6f7dbfbdb8e340a9af900f646a80d1e1
Autor:
Mochamad Firman Ghazali, Anggun Tridawati, Mamad Sugandi, Aqilla Fitdhea Anesta, Ketut Wikantika
Publikováno v:
Forum Geografi, Vol 35, Iss 1 (2021)
COVID-19 is currently the hot topic of conversation because of its ability to spread relatively quickly, in line with everyday human activities. It is unknown exactly the dominant environmental factors and their influence on the spread of COVID-19 in
Externí odkaz:
https://doaj.org/article/1527a9c951b047279090b426c76619e7
Autor:
Ketut Wikantika, Mochamad Firman Ghazali, Fenny Martha Dwivany, Cindy Novianti, Lissa Fajri Yayusman, Agus Sutanto
Publikováno v:
Diversity, Vol 14, Iss 4, p 277 (2022)
The study of banana herbs and fruits is rarely conducted using multidisciplinary approaches. However, a multidisciplinary approach could be useful for gaining information on many aspects, including remote sensing, biodiversity and biogeography, owing
Externí odkaz:
https://doaj.org/article/e3f32f9a53e347a19138788b3d9c3274
Autor:
Mochamad Firman Ghazali, Tri Muji Susantoro, Ketut Wikantika, Agung Budi Harto, Rian Nurtyawan
Publikováno v:
Hayati Journal of Biosciences, Vol 27, Iss 1 (2020)
Drought monitoring is important for the paddy planting planning. Remote sensing is one tool can be used for it. Paddy field monitoring based on the soil moisture gives much knowledge related to the water content in the soil. Soil moisture analysis in
Externí odkaz:
https://doaj.org/article/5c886e669dce4dfe8c2a552d025a29b4
Autor:
Anggun Tridawati, Ketut Wikantika, Tri Muji Susantoro, Agung Budi Harto, Soni Darmawan, Lissa Fajri Yayusman, Mochamad Firman Ghazali
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3933 (2020)
Indonesia is the world’s fourth largest coffee producer. Coffee plantations cover 1.2 million ha of the country with a production of 500 kg/ha. However, information regarding the distribution of coffee plantations in Indonesia is limited. This stud
Externí odkaz:
https://doaj.org/article/0feb3696613d45459deaa8e15092f4b2
Autor:
Lauditta Zahra, Mochamad Firman Ghazali, Ananda Dermawan, Choirunnisa Salsabila, Mila Aulia, Ni Made Mega Melliana S
Publikováno v:
JURNAL GEOLOGI KELAUTAN. 20
Autor:
Mochamad Firman Ghazali, Araneta Aqzela, Christas Gracia, Raudya Santy Febriningtyas, Dewi Wijayanti
Publikováno v:
Majalah Geografi Indonesia; Vol 37, No 1 (2023): Majalah Geografi Indonesia
Tingginya prevalensi stunting dipicu oleh kurangnya kualitas hidup balita di awal pertumbuhannya. Hal ini dapat berpengaruh pada rendahnya kualitas sumberdaya manusia dari banyak generasi penerus bangsa. Kajian stunting secara spasial menggunakan art
Publikováno v:
Journal of Coastal Conservation. 26
Autor:
Mochamad Firman Ghazali, D. I. Sumantri, Lissa Fajri Yayusman, I. N. P. Aryantha, Ketut Wikantika, R. R. Maulani
Publikováno v:
Scientia Agriculturae Bohemica, Vol 51, Iss 3, Pp 86-97 (2020)
In the agriculture sector, proper crop management can enhance yield production. Determination of the chlorophyll content in crop contributes to this significant topic. In this study, the leaves chlorophyll content of local paddy cultivars Inpari 32 a