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What Is the Role of Agro-Met Information Services in Farmer Decision-Making? Uptake and Decision-Making Context among Farmers within Three Case Study Villages in Maharashtra, India
2017
Agriculture
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We understand salience as tailoring crop-specific, location-specific agro-met advisories in various stages of crop growth stage. ...
Several factors play an important role in farmer's agricultural decision-making. ...
Acknowledgments: This manuscript is based on research in the project; The governance of climate services: Improving knowledge networks for resilient and socially just societies, funded by The Research ...
doi:10.3390/agriculture7080070
fatcat:yoealam2fbh5tgh3zihr2hrha4
A User-Friendly Theoretical Mathematical Model for the Prediction of Food Safety in a Food Production Chain
2015
Journal of Food Processing & Technology
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The complexity of food systems and the large number of "critical points" in food production chain impose the necessity of the development of mathematical models for the prediction of food safety as well ...
The proposed model provides the quality and product managers of a vegetable company with a total new approach which is clear, simple, user friendly, realtime, easily accessible, fast, reliable, and of ...
doi:10.4172/2157-7110.1000421
fatcat:uh35pcdu6bhsnk6lruudzzpe6u
How to Manage Output Uncertainty: Targeting the Actual End User Problem in Interactions with AI
2021
International Conference on Intelligent User Interfaces
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To enable effective management of output uncertainty, we believe it is necessary to focus on truly human-centered AI designs that keep the human in an active role of control. ...
Transparency and explainability should therefore not be the end goals, as such a focus tends to place the human into a passive supervisory role in what is in reality an algorithm-centered system design ...
Acknowledgments This work was supported by the German Federal Ministry for Economic Affairs and Energy (BMWi) under the LuFo VI-1 program, project KIEZ4-0. ...
dblp:conf/iui/ZhangH21
fatcat:ysxdpiqbx5cpbgv5wvg7j4h26a
Incorporating user values into climate services
2019
Bulletin of The American Meteorological Society - (BAMS)
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What numerical value should be assigned to this parameter in the model? In some cases, there is substantial uncertainty about which option will give the most accurate results. ...
Yet often there is significant uncertainty about which information sources are most accurate, especially in the case of model projections (Collins 2017) . ...
doi:10.1175/bams-d-17-0325.1
fatcat:2hfcqfamd5advmldr2yzn3moua
Review of seasonal forecasting in South Africa: producer to end-user
2004
Climate Research (CR)
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This paper describes the process of the development, dissemination and use of seasonal climate forecasts in South Africa. ...
Reliable seasonal forecasting of climate, particularly for the rainy season for South Africa, has the potential to be of great benefit to users. ...
The role of key institutions in the forecast system is assessed with a view to characterising the 'end-to-end' nature of the process. ...
doi:10.3354/cr028067
fatcat:o6md3fmpvzfv3hjpvzmbacx4i4
Automated farming prediction
2017
2017 Intelligent Systems Conference (IntelliSys)
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The total system is focused on the climate and geographical condition of different areas of Bangladesh. It predicts the best cost effective crop using a prediction based algorithm. ...
Then best crop name will be shown in the screen. If the suggestive crop is chosen, the entire steps of cultivation will be shown to him. ...
How much feasible our app is, in which sector is it more feasible and which sector it is not, what are the requirements of our app and how much importance do they bear, screenshots of our app and what ...
doi:10.1109/intellisys.2017.8324214
fatcat:26mr4b6gebhu5hfnrkuel4mbxe
A Vision for Numerical Weather Prediction in 2030
[article]
2022
arXiv
pre-print
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In this essay, I outline a personal vision of how I think Numerical Weather Prediction (NWP) should evolve in the years leading up to 2030 and hence what it should look like in 2030. ...
Here I want to focus on how NWP can better help save lives from increasingly extreme weather in those parts of the world where society is most vulnerable. ...
This work was supported by the European Research Council Advanced Grant ITHACA, 741112. ...
arXiv:2007.04830v2
fatcat:m4jbyaoqzbhprbxer3t62gxgvq
Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior
2022
CHI Conference on Human Factors in Computing Systems
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Based on our findings, we present a process model capturing the dynamics of and influences on users' search and sensemaking behaviors. ...
We offer directions for the design of future methods and tools that can better support user-driven auditing. ...
ACKNOWLEDGMENTS This work was supported by the National Science Foundation (NSF) program on Fairness in AI in collaboration with Amazon under Award No. ...
doi:10.1145/3491102.3517441
fatcat:obypclcgqzfwjjnst5rwgs24z4
Second Feedback report from users on durum wheat pilot service development
2021
Zenodo
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Since the limitations related to covid19 forced the delay of the workshop with end-users, the feedback of these products is collected internally among WP4 partners. ...
This report contains the description of the current status of the MEDGOLD WP4 climate service tools (CLISAGRI, DELPHI, GRANODURO.NET) applied to seasonal forecast data. ...
An R package to visualize and communicate uncertainty
in seasonal climate prediction. Environmental modelling
& software, 99, 101-110.
2018
[RD.4]
Ceglar et al. ...
doi:10.5281/zenodo.4543367
fatcat:j2j7lc7aqnae7e5xmrg5a6rqsq
Preface:Climate Predictions for Better Agricultural Risk Management
2007
Australian Journal of Agricultural Research
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The resulting bioeconomic modelling system is capable of forecasting the direction of movement in Australian farm incomes at the beginning of the financial year. ...
Through a novel application of M-quantile regression, they make a simple, econometric farm income model responsive to SCF by integrating it with crop and pasture models. ...
doi:10.1071/arv58n10_pr
fatcat:cvzqkomk4zegfok3qqtdqufb2q
Methods for Exploring Uncertainty in Groundwater Management Predictions
[chapter]
2016
Integrated Groundwater Management
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This chapter provides an overview of uncertainty in models and in the definition of a problem to model, highlights approaches to communicating and using predictions of uncertain outcomes and summarises ...
It is intended to raise awareness of how alternative models and hence uncertainty can be explored in order to facilitate the integration of these techniques with groundwater management. ...
In these cases, it is considered good practice to present "the modeller's estimate of the representative uncertainty given what is known about the system, the type of prediction(s), and the modeller's ...
doi:10.1007/978-3-319-23576-9_28
fatcat:lqtzm45mergjdmqvzbxywwyefu
Bridging Modeling and Certification to Evaluate Low-ILUC-Risk Practices for Biobased Materials with a User-Friendly Tool
2022
Sustainability
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This was done by explicitly including the additionality practices in an ILUC model, simplifying the model to a spreadsheet tool that relates automatically the input provided by the user, which may be a ...
ILUC modeling estimates have large uncertainties, making them difficult to include in a policy aiming at reducing environmental impacts. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/su14042030
fatcat:3qg7n6rvlrdwpcwb6aemvfkxly
Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges
2002
Agricultural Systems
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Third, benefit depends on prediction of the components of climate variability that are relevant to viable decisions. ...
The first prerequisite is that forecast information must address a need that is both real and perceived. ...
What role can research play in enabling farmers and other agricultural decision makers to realize the potential benefits from seasonal climate prediction? ...
doi:10.1016/s0308-521x(02)00043-4
fatcat:awx5kzhmyfhwlpuguehvpg5aiq
User responses to imperfect forecasts: Findings from an experiment with Kentucky wheat farmers
2019
Weather, Climate, and Society
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We do this in the context of a very specific management choice-the timing and amount of nitrogen that Kentucky farmers apply to their wheat in early spring-in response to randomly generated 6-to-10-day ...
We find that forecasts provide economically significant value to decision-makers only when they depart dramatically from what is normally expected. ...
We are deeply appreciative of Matt Dixon and Rezaul Mahmood, who shared their time and expertise in helping us to understand the meteorological literature and the local precipitation data. ...
doi:10.1175/wcas-d-18-0135.1
fatcat:snc3uuusujglpapk4pb6fcsn2i
Atmospheric Predictability
2007
Journal of the Meteorological Society of Japan
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system that is a basic tool to describe large-scale balanced flow approximately and the discovery of chaos that is the key concept of atmospheric predictability. ...
The histories of numerical weather prediction and atmospheric predictability research are briefly reviewed in this article in celebration of the 125-year anniversary of the foundation of the Japan Meteorological ...
This work was supported in part by the Grant-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan, and by the Kyoto University Active Geosphere ...
doi:10.2151/jmsj.85b.77
fatcat:t6j5ylp3cnddndgtnzdzdjqn54
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