Complying with farmers’ conditions and needs using new weather and climate information approaches and technologies

Author(s):  
C. J. Stigter ◽  
Tan Ying ◽  
H. P. Das ◽  
Zheng Dawei ◽  
R. E. Rivero Vega ◽  
...  
2021 ◽  
pp. 100309
Author(s):  
Abdoulaye Djido ◽  
Robert B. Zougmoré ◽  
Prosper Houessionon ◽  
Mathieu Ouédraogo ◽  
Issa Ouédraogo ◽  
...  

Author(s):  
Misiani Zachary ◽  
Lun Yin ◽  
Mwai Zacharia ◽  
Xiaohan Zhang ◽  
Yanyan Zheng ◽  
...  

Today, traditional media is still a significant part of disseminating weather and climate information, still they have not been able to reach out to all users of the target audience alone. On the other hand, social media platforms such as Twitter, Facebook, YouTube, Instagram, etc. are used as a tool of communicating weather and climate information to various users in a well-organized manner like never before. Using a scientific research methodology of case study, the research was designed to explore how the Kenya Meteorological Department (KMD) is using Twitter and Facebook accounts for weather and climate information dissemination to various users.


2021 ◽  
pp. 77-92
Author(s):  
Dorothy Tembo-Nhlema ◽  
Katharine Vincent ◽  
Rebecka Henriksson

AbstractFor climate information to be used at the grassroots level, it needs to be understood, collectively interpreted and effectively communicated. Participatory Scenario Planning (PSP) is one method of co-producing useful and usable sectoral and livelihood advisories for decision-makers, based on locally downscaled weather (typically seasonal forecasts). The chapter outlines an initial investigation into the history and application of PSP in Malawi, finding that it can generate useful and usable information that is deemed credible, legitimate and salient by its intended users. Its usability is reinforced through the demonstration effect which leads to even sceptical farmers adopting it after they have witnessed proof of its effectiveness from early adopters. In Malawi, the sustainability of PSP is threatened due to limited integration in planning frameworks and reliance on projects, hence need for a mechanism to ensure its regular occurrence and embeddedness in formal governance structures.


2020 ◽  
Vol 9 (1) ◽  
pp. 44 ◽  
Author(s):  
Wolfgang B. Hamer ◽  
Tim Birr ◽  
Joseph-Alexander Verreet ◽  
Rainer Duttmann ◽  
Holger Klink

Real-time identification of the occurrence of dangerous pathogens is of crucial importance for the rapid execution of countermeasures. For this purpose, spatial and temporal predictions of the spread of such pathogens are indispensable. The R package papros developed by the authors offers an environment in which both spatial and temporal predictions can be made, based on local data using various deterministic, geostatistical regionalisation, and machine learning methods. The approach is presented using the example of a crops infection by fungal pathogens, which can substantially reduce the yield if not treated in good time. The situation is made more difficult by the fact that it is particularly difficult to predict the behaviour of wind-dispersed pathogens, such as powdery mildew (Blumeria graminis f. sp. tritici). To forecast pathogen development and spatial dispersal, a modelling process scheme was developed using the aforementioned R package, which combines regionalisation and machine learning techniques. It enables the prediction of the probability of yield- relevant infestation events for an entire federal state in northern Germany at a daily time scale. To run the models, weather and climate information are required, as is knowledge of the pathogen biology. Once fitted to the pathogen, only weather and climate information are necessary to predict such events, with an overall accuracy of 68% in the case of powdery mildew at a regional scale. Thereby, 91% of the observed powdery mildew events are predicted.


2015 ◽  
Vol 7 (1) ◽  
pp. 83-93 ◽  
Author(s):  
Tonya Haigh ◽  
Lois Wright Morton ◽  
Maria Carmen Lemos ◽  
Cody Knutson ◽  
Linda Stalker Prokopy ◽  
...  

Abstract Although agricultural production faces chronic stress associated with extreme precipitation events, high temperatures, drought, and shifts in climate conditions, adoption of climate information into agricultural decision making has been relatively limited. Agricultural advisors have been shown to play important roles as information intermediaries between scientists and farmers, brokering, translating, and adding value to agronomic and economic information of use in agricultural management decision making. Yet little is known about the readiness of different types of agricultural advisors to use weather and climate information to help their clients manage risk under increasing climate uncertainty. More than 1700 agricultural advisors in four midwestern states (Nebraska, Indiana, Iowa, and Michigan) completed a web-based survey during the spring of 2012 about their use of weather and climate information, public or private sector employment, and roles as information intermediaries in three advising specializations: agronomic, conservation, and financial. Key findings reveal that advisors who specialize in providing agronomic information are positively inclined toward acting as weather and climate information intermediaries, based on influence and willingness to use climate information in providing many types of operational and tactical advice. Advisors who provide conservation advice appear to be considering weather and climate information when providing tactical and strategic land-use advice, but advisors who provide financial advice seem less inclined to act as climate information intermediaries. These findings highlight opportunities to increase the capacity of different types of advisors to enable them to be effective weather and climate information intermediaries.


2021 ◽  
Author(s):  
David Griggs

<p>The United Nations 2030 Agenda for Sustainable Development is an ambitious plan for “people, “planet and prosperity”. At its core are the 17 Sustainable Development Goals (SDGs), the achievement of which is critically affected by weather and a changing climate. To that end emphasis has been given to delivering weather and climate services, with information packaged in ways that support timely decision making.</p><p>Yet often these approaches tend not to address which decision-making processes need what information, why they need it, or what form they need it in. They have also tended to be focussed on specific situations and SDGs (such as SDG 14, 15) where the need for weather and climate information is clear and obvious.</p><p>In this presentation, we will look at how weather and climate information impinges on different decision making contexts, requiring that information to be tailored in new ways. In doing so we will identify key action areas that need to be addressed to improve integration of weather and climate information into SDG decision making. </p>


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