Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ponraj Arumugam"'
Autor:
Lisa Murken, Julia Tomalka, David Abigaba, Antwi-Bosiako Amoah, Joseph Armathé Amougou, Muriel Anaba, Ponraj Arumugam, Eres Awori, Hye-Rin Léa Baek, Till Below, Matti Cartsburg, Abel Chemura, Carla Cronauer, Iulii Didovets, Adefires Worku Gizaw, Stephanie Gleixner, Nele Gloy, Enrico Grams, Lemlem Habtemariam, Anna Hampf, Ylva Hauf, Tim Heckmann, Boubacar Ibrahim, Lennart Jansen, Francis Jarawura, Timothée Kagonbé, Juliane Kaufmann, Priscilla Kephe, Lena Klockemann, Stefan Lange, Rahel Laudien, Stefan Liersch, Naima Lipka, Sophia Lüttringhaus, Sibylla Neer, Oblé Neya, Steffen Noleppa, Sebastian Ostberg, Jonas Pollig, Paula Romanovska, Felicitas Röhrig, Bernhard Schauberger, Roopam Shukla, Lina Staubach, Mesmin Tchindjang, Sabine Undorf, Regina Vetter, Sophie von Loeben, Christoph von Stechow, Katarina von Witzke, Chiara Sophia Weituschat, Michel Wortmann, Amsalu Woldie Yalew, Isabella Zouh, Christoph Gornott
Publikováno v:
Environmental Research Letters, Vol 19, Iss 6, p 062001 (2024)
Externí odkaz:
https://doaj.org/article/c6f294631a5e44bdb61844033812e7a5
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2379 (2021)
Accurate and spatially explicit yield information is required to ensure farmers’ income and food security at local and national levels. Current approaches based on crop cutting experiments are expensive and usually too late for timely income stabil
Externí odkaz:
https://doaj.org/article/2fbc38eeed5540d8b310c188f25c3d87
Publikováno v:
Agronomy, Vol 10, Iss 11, p 1674 (2020)
Immediate yield loss information is required to trigger crop insurance payouts, which are important to secure agricultural income stability for millions of smallholder farmers. Techniques for monitoring crop growth in real-time and at 5 km spatial re
Externí odkaz:
https://doaj.org/article/a9203b48a26a4bc781ce09a8010c876e
Publikováno v:
European Journal of Agronomy, 142
European Journal of Agronomy 142 (2023)
European Journal of Agronomy 142 (2023)
Adaptation strategies sustaining agricultural production under climate change are urgently required in Sub-Saharan Africa. To quantify the impacts of different adaptation options in Burkina Faso, this study simulated sorghum yields under current and
Publikováno v:
Environmental Earth Sciences, Thematic Issue
Environmental Earth Sciences Thematic Issue (2022)
Environmental Earth Sciences Thematic Issue (2022)
One of the critical variables characterizing the energy and water cycle at the earth’s surface is near-surface air temperature. This has massive significance in agrometeorological applications aimed at achieving sustainable agriculture. Remote sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69f1c3f461338ac8e74f1058ac362f7c
https://research.wur.nl/en/publications/estimation-of-air-temperature-using-the-temperaturevegetation-ind
https://research.wur.nl/en/publications/estimation-of-air-temperature-using-the-temperaturevegetation-ind
Publikováno v:
Remote Sensing, Vol 13, Iss 2379, p 2379 (2021)
Remote Sensing; Volume 13; Issue 12; Pages: 2379
Remote Sensing; Volume 13; Issue 12; Pages: 2379
Accurate and spatially explicit yield information is required to ensure farmers’ income and food security at local and national levels. Current approaches based on crop cutting experiments are expensive and usually too late for timely income stabil
Autor:
Tek B. Sapkota, Ponraj Arumugam, Paresh B. Shirsath, Clare M. Stirling, Arun Khatri-Chhetri, Jeetendra Prakash Aryal
Publikováno v:
Mitigation and Adaptation Strategies for Global Change
Increasing agricultural production to meet the growing demand for food whilst reducing agricultural greenhouse gas (GHG) emissions is the major challenge under the changing climate. To develop long-term policies that address these challenges, strateg
Autor:
Mansi Nagpal, Shalika Vyas, Ponraj Arumugam, Madhur Chanana, Paresh B. Shirsath, S. Aravind, Sheshakumar Goroshi, Pramod K. Aggarwal
Publikováno v:
Computers and Electronics in Agriculture. 175:105619
Real-time knowledge about crop growth conditions is critical to make decisions about risk management and food security planning. Several crop forecasting decision support systems (DSSs) are available which use crop models, remote sensing, weather der