EAGER SitS: Quantifying the value of information for sensor placements to improve soil signals for agricultural water management
EAGER SitS:量化传感器放置信息的价值,以改善农业用水管理的土壤信号
基本信息
- 批准号:2427554
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-04-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Given the reliance of global food security on robust agricultural water management, there is a need to better inform and improve understanding of soil moisture signals in different types of environments. Such signals are an important input for agricultural water management. The lack of proper understanding of soil moisture signals remains a persistent challenge in sustainable agricultural management, especially during drought conditions. Developing such an understanding is the subject of this research.The spatial heterogeneity and variability of soil moisture greatly hinders the use of point scale in situ monitoring for capturing the dynamics of this variable. Although remote sensing products are available to provide soil moisture information, they are limited in providing only aggregated information at coarse resolution and are often characterized by large uncertainty, which is unsuitable for agricultural water management that requires finer/local scale information. The robust design of soil moisture monitoring (sensor) networks to be pursued by this project is targeted to ensure the sufficient and adequate representation of data provided to stakeholders (e.g. farmers and ranchers) so that they can make the most informed decisions possible concerning their own water management needs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
鉴于全球粮食安全依赖于强有力的农业用水管理,有必要更好地提供信息,并更好地了解不同类型环境中的土壤湿度信号。这些信号是农业用水管理的重要投入。对土壤湿度信号缺乏适当了解仍然是可持续农业管理的一个持续挑战,特别是在干旱条件下。发展这样的理解是本研究的主题。土壤水分的空间异质性和变异性极大地阻碍了使用点尺度原位监测捕捉这个变量的动态。虽然遥感产品可用于提供土壤水分信息,但它们仅限于提供粗分辨率的汇总信息,而且往往具有很大的不确定性,不适合需要更精细/局部尺度信息的农业用水管理。本项目将采用的土壤湿度监测(传感器)网络的稳健设计旨在确保向利益攸关方提供充分和适当的数据(例如农民和牧场主)这样他们就可以在自己的水管理需求方面做出最明智的决定。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ashok Mishra其他文献
Rough Set Approach to Development of a Knowledge-Based Expert System
开发基于知识的专家系统的粗糙集方法
- DOI:
10.62226/ijarst20130271 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
B. S. Panda;Sasanko Sekhar Gantayat;Ashok Mishra - 通讯作者:
Ashok Mishra
Climate change effect on optimal N recommendation and yield of rice and wheat crops
气候变化对稻麦作物最佳施氮量和产量的影响
- DOI:
10.1007/s00704-024-04866-1 - 发表时间:
2024 - 期刊:
- 影响因子:3.4
- 作者:
Madhuri Dubey;Ashok Mishra;Rajendra Singh - 通讯作者:
Rajendra Singh
Assessing the impact of climate indices on corn yield in the continental USA using machine learning approach
使用机器学习方法评估气候指数对美国大陆玉米产量的影响
- DOI:
10.1016/j.agrformet.2025.110632 - 发表时间:
2025-08-15 - 期刊:
- 影响因子:5.700
- 作者:
Amitesh Sabut;Kumar Puran Tripathy;Ashok Mishra;Martha Anderson;Michael Cosh;Simon kraatz;Feng Gao;Richard Cirone - 通讯作者:
Richard Cirone
Drought has varying impacts on the national economy
- DOI:
10.1007/s00477-024-02892-z - 发表时间:
2025-02-04 - 期刊:
- 影响因子:3.600
- 作者:
Ashok Mishra;Jerad Delk;Ashok Mishra;David Zilberman - 通讯作者:
David Zilberman
Integrated Assessment of no-Regret Climate Change Adaptation Options for Reservoir Catchment and Command Areas
- DOI:
10.1007/s11269-015-1207-4 - 发表时间:
2015-12-30 - 期刊:
- 影响因子:4.700
- 作者:
Ajay Gajanan Bhave;Neha Mittal;Ashok Mishra;Narendra Singh Raghuwanshi - 通讯作者:
Narendra Singh Raghuwanshi
Ashok Mishra的其他文献
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{{ truncateString('Ashok Mishra', 18)}}的其他基金
CAREER: Quantifying drought and vulnerability indicators for water security in a changing environment
职业:量化不断变化的环境中水安全的干旱和脆弱性指标
- 批准号:
2422542 - 财政年份:2024
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
RAPID: Revisiting the compounding storm surge and extreme precipitation events on coastal flooding during hurricane Florence using field data
RAPID:利用现场数据重新审视佛罗伦萨飓风期间沿海洪水的复合风暴潮和极端降水事件
- 批准号:
2423008 - 财政年份:2024
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: RAPID: Compounding Human and Natural Disasters: Implication on agriculture sectors
合作研究:RAPID:人类和自然灾害的复合:对农业部门的影响
- 批准号:
2030362 - 财政年份:2020
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
EAGER SitS: Quantifying the value of information for sensor placements to improve soil signals for agricultural water management
EAGER SitS:量化传感器放置信息的价值,以改善农业用水管理的土壤信号
- 批准号:
1841629 - 财政年份:2018
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
RAPID: Revisiting the compounding storm surge and extreme precipitation events on coastal flooding during hurricane Florence using field data
RAPID:利用现场数据重新审视佛罗伦萨飓风期间沿海洪水的复合风暴潮和极端降水事件
- 批准号:
1855374 - 财政年份:2018
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CAREER: Quantifying drought and vulnerability indicators for water security in a changing environment
职业:量化不断变化的环境中水安全的干旱和脆弱性指标
- 批准号:
1653841 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
RAPID: Cascading of Extreme Events (Drought-Wildfire) in a Pristine Watershed Located in the Southeast US: Implication on Hydrology, Water Quality and Microbial Communities
RAPID:美国东南部原始流域的一系列极端事件(干旱-野火):对水文、水质和微生物群落的影响
- 批准号:
1722482 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
RAPID: Severe Drought and Historical Extreme Flood (October 1-4, 2015) Regime in South Carolina: Assessment of the Water Quality Situation
RAPID:南卡罗来纳州严重干旱和历史性极端洪水(2015 年 10 月 1 日至 4 日)政权:水质状况评估
- 批准号:
1602451 - 财政年份:2015
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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