Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Emma D. Quicho"'
Autor:
Sellaperumal Pazhanivelan, Vellingiri Geethalakshmi, R. Tamilmounika, N. S. Sudarmanian, Ragunath Kaliaperumal, Kumaraperumal Ramalingam, A. P. Sivamurugan, Kancheti Mrunalini, Manoj Kumar Yadav, Emma D. Quicho
Publikováno v:
Agronomy, Vol 12, Iss 9, p 2008 (2022)
Accurate and consistent information on the area and production of field crops is vital for national and state planning and ensuring food security in India. Satellite-based remote sensing offers a suitable and cost-effective technique for regional- an
Externí odkaz:
https://doaj.org/article/eea89178c1f5495fbaa699c11d40e679
Autor:
Andrew Nelson, Tri Setiyono, Arnel B. Rala, Emma D. Quicho, Jeny V. Raviz, Prosperidad J. Abonete, Aileen A. Maunahan, Cornelia A. Garcia, Hannah Zarah M. Bhatti, Lorena S. Villano, Pongmanee Thongbai, Francesco Holecz, Massimo Barbieri, Francesco Collivignarelli, Luca Gatti, Eduardo Jimmy P. Quilang, Mary Rose O. Mabalay, Pristine E. Mabalot, Mabel I. Barroga, Alfie P. Bacong, Norlyn T. Detoito, Glorie Belle Berja, Frenciso Varquez, Wahyunto, Dwi Kuntjoro, Sri Retno Murdiyati, Sellaperumal Pazhanivelan, Pandian Kannan, Petchimuthu Christy Nirmala Mary, Elangovan Subramanian, Preesan Rakwatin, Amornrat Intrman, Thana Setapayak, Sommai Lertna, Vo Quang Minh, Vo Quoc Tuan, Trinh Hoang Duong, Nguyen Huu Quyen, Duong Van Kham, Sarith Hin, Touch Veasna, Manoj Yadav, Chharom Chin, Nguyen Hong Ninh
Publikováno v:
Remote Sensing, Vol 6, Iss 11, Pp 10773-10812 (2014)
Rice is the most important food security crop in Asia. Information on its seasonal extent forms part of the national accounting of many Asian countries. Synthetic Aperture Radar (SAR) imagery is highly suitable for detecting lowland rice, especially
Externí odkaz:
https://doaj.org/article/728445a826ff4e6aa36f640f6286c9c7
Autor:
Tri D. Setiyono, Emma D. Quicho, Luca Gatti, Manuel Campos-Taberner, Lorenzo Busetto, Francesco Collivignarelli, Francisco Javier García-Haro, Mirco Boschetti, Nasreen Islam Khan, Francesco Holecz
Publikováno v:
Remote Sensing, Vol 10, Iss 2, p 293 (2018)
Crop insurance is a viable solution to reduce the vulnerability of smallholder farmers to risks from pest and disease outbreaks, extreme weather events, and market shocks that threaten their household food and income security. In developing and emerg
Externí odkaz:
https://doaj.org/article/ee2e5c32524847e1844c04bf33304e09
Autor:
Shen Yuan, Alexander M. Stuart, Alice G. Laborte, Juan I. Rattalino Edreira, Achim Dobermann, Le Vu Ngoc Kien, Lưu Thị Thúy, Kritkamol Paothong, Prachya Traesang, Khin Myo Tint, Su Su San, Marcelino Q. Villafuerte, Emma D. Quicho, Anny Ruth P. Pame, Rathmuny Then, Rica Joy Flor, Neak Thon, Fahmuddin Agus, Nurwulan Agustiani, Nanyan Deng, Tao Li, Patricio Grassini
Publikováno v:
Nature Food. 3:217-226
Southeast Asia is a major rice-producing region with a high level of internal consumption and accounting for 40% of global rice exports. Limited land resources, climate change and yield stagnation during recent years have once again raised concerns a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b92aa80464f5cfed0d1c57267efa36f
https://doi.org/10.1038/s43016-022-00477-z
https://doi.org/10.1038/s43016-022-00477-z
Autor:
Tri Deri Setiyono(1), Francesco Holecz(2), Nasreen I Khan(3), Massimo Barbieri(2), Aileen A Maunahan(4), Luca Gatti(2), Emma D Quicho(1), Sellaperumal Pazhanivelan(5), Manuel Campos-Taberner(6), Francesco Collivignarelli(2), Javier García Haro(6), Amornrat Intrman(7), Do Phuong(8), Mirco Boschetti(9), Prabhu Prasadini(10), Lorenzo Busetto(9), Vo Quang Minh(11), Vo Quoc Tuan(11)
Publikováno v:
American Geophysical Union (AGU) Fall Meeting 2017, New Orleans, 11-15/12/2017
info:cnr-pdr/source/autori:Tri Deri Setiyono(1), Francesco Holecz(2), Nasreen I Khan(3), Massimo Barbieri(2), Aileen A Maunahan(4), Luca Gatti(2), Emma D Quicho(1), Sellaperumal Pazhanivelan(5), Manuel Campos-Taberner(6), Francesco Collivignarelli(2), Javier García Haro(6), Amornrat Intrman(7), Do Phuong(8), Mirco Boschetti(9), Prabhu Prasadini(10), Lorenzo Busetto(9), Vo Quang Minh(11) and Vo Quoc Tuan(11)/congresso_nome:American Geophysical Union (AGU) Fall Meeting 2017/congresso_luogo:New Orleans/congresso_data:11-15%2F12%2F2017/anno:2017/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:Tri Deri Setiyono(1), Francesco Holecz(2), Nasreen I Khan(3), Massimo Barbieri(2), Aileen A Maunahan(4), Luca Gatti(2), Emma D Quicho(1), Sellaperumal Pazhanivelan(5), Manuel Campos-Taberner(6), Francesco Collivignarelli(2), Javier García Haro(6), Amornrat Intrman(7), Do Phuong(8), Mirco Boschetti(9), Prabhu Prasadini(10), Lorenzo Busetto(9), Vo Quang Minh(11) and Vo Quoc Tuan(11)/congresso_nome:American Geophysical Union (AGU) Fall Meeting 2017/congresso_luogo:New Orleans/congresso_data:11-15%2F12%2F2017/anno:2017/pagina_da:/pagina_a:/intervallo_pagine
This study uses multi-temporal SAR imagery, automated image processing, rule-based classification and field observations to classify rice in multiple locations in South and South Asian countries and assimilate the information into ORYZA Crop Growth S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::8a0d443fe1088290e545201c6186f7d2
https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/237363
https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/237363
