Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Jarrod Kath"'
Autor:
Vivekananda M. Byrareddy, Jarrod Kath, Louis Kouadio, Shahbaz Mushtaq, Vellingiri Geethalakshmi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Agroforestry is a management strategy for mitigating the negative impacts of climate and adapting to sustainable farming systems. The successful implementation of agroforestry strategies requires that climate risks are appropriately assessed
Externí odkaz:
https://doaj.org/article/3075edaac74249f5bf23548f87d63c69
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The use of spatially referenced data in agricultural systems modelling has grown in recent decades, however, the use of spatial modelling techniques in agricultural science is limited. In this paper, we test an effective and efficient techni
Externí odkaz:
https://doaj.org/article/871d78ba360a4806b38586ab7574040f
Autor:
Adewuyi Ayodele Adeyinka, Jarrod Kath, Thong Nguyen-Huy, Shahbaz Mushtaq, Maxime Souvignet, Matthias Range, Jonathan Barratt
Publikováno v:
Climate Risk Management, Vol 35, Iss , Pp 100394- (2022)
Agricultural climate index-based-insurance (IBI) compensates farmers for losses from adverse climatic conditions. Using a systemic review, we show that research related to agricultural climate index-based-insurance efficacy and application is lacking
Externí odkaz:
https://doaj.org/article/53a41a53b3c54d21a387b291ef050ae2
Autor:
Jarrod Kath, Shahbaz Mushtaq, Ross Henry, Adewuyi Ayodele Adeyinka, Roger Stone, Torben Marcussen, Louis Kouadio
Publikováno v:
Climate Risk Management, Vol 24, Iss , Pp 13-29 (2019)
Wheat is key global food crop that is heavily influenced by climatic variability. There has been extensive research on improving forecasts and management practices to minimise climate related yield losses, but less on how to handle yield losses cause
Externí odkaz:
https://doaj.org/article/985ad3b2825d4057af754ac7b4627e9d
Publikováno v:
Climate Services, Vol 22, Iss , Pp 100229- (2021)
An improved understanding of the benefits and uptake of drought mitigation strategies under a changing climate is critical to ensure effective strategies are developed. Here, using 10 years (2008–2017) of farm data from 558 farmers distributed acro
Externí odkaz:
https://doaj.org/article/dbe0f1680de74b33920d95d558dc82fe
Autor:
Jarrod Kath, Vivekananda Mittahalli Byrareddy, Shahbaz Mushtaq, Alessandro Craparo, Mario Porcel
Publikováno v:
Climate Risk Management, Vol 32, Iss , Pp 100281- (2021)
Robusta coffee is the primary source of income for millions of smallholder farmers throughout the world’s tropics. The price smallholder farmers can get for their coffee is strongly influenced by bean characteristics (i.e. beans are of a sufficient
Externí odkaz:
https://doaj.org/article/cdb45f8d63a04060b9e8fcbf5b7606e9
Publikováno v:
Weather and Climate Extremes, Vol 22, Iss , Pp 1-9 (2018)
Managing the risks of climate variability on crop production is central to ensuring financially viable farming systems and sustainable food production. Insurance provides a mechanism to manage and transfer climate risks. However, traditional multi-pe
Externí odkaz:
https://doaj.org/article/f7bdab0927414fc6a650908859b3d030
Publikováno v:
Weather and Climate Extremes, Vol 21, Iss , Pp 76-89 (2018)
An agricultural producer's crop yield and the subsequent farming revenues are affected by many complex factors, including price fluctuations, government policy and climate (e.g., rainfall and temperature) extremes. Geographical diversification is ide
Externí odkaz:
https://doaj.org/article/3e55dbacfccf436caed59da5d688b2ef
Autor:
Jarrod Kath, Alessandro Craparo, Youyi Fong, Vivekananda Byrareddy, Aaron P. Davis, Rachel King, Thong Nguyen-Huy, Piet J. A. van Asten, Torben Marcussen, Shahbaz Mushtaq, Roger Stone, Scott Power
Publikováno v:
Nature Food. 3:871-880
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e3d3658ce92e44f303e7cec9700b9dc
https://doi.org/10.1038/s43016-022-00614-8
https://doi.org/10.1038/s43016-022-00614-8
Publikováno v:
Environmental and Ecological Statistics. 29:779-799
In this paper we propose a new fast grid search algorithm for finding the least square estimators of a step regression model. This algorithm makes it practical to compute resampling-based confidence intervals for step regression models. We introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d68fc401cf678728fb846e9b5e4539b4
https://doi.org/10.1007/s10651-022-00547-2
https://doi.org/10.1007/s10651-022-00547-2