Integrated digital soil sensing and mapping for sustainable soil management

用于可持续土壤管理的集成数字土壤传感和绘图

• 批准号: RGPIN-2020-05017
• 负责人: Biswas, Asim
• 金额: $ 4.44万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=753356
• 关键词: Integrated; digital; soil; sensing; mapping

There is no Planet B; food security must be achieved now. We will only be able to meet the demand of ever-increasing population through optimized management of our finite land and arable soil resources. However, due to spatial and temporal variability, `better management' of our soil is only possible through `better measurement'. Unlike the `status quo' approach to define soil fertility through traditional sampling and laboratory analysis, proximal soil sensing (PSS) technologies provide quality soil information with greater spatial and temporal details to develop site-specific management of input resources to improve production and maintain environmental sustainability. However, technologies are developing at a faster pace than our knowledge base, thus, restricting their adoption. It is critical and timely to move forward with much needed research on the feasibility of PSS technologies to understand and characterize soil; develop a framework, algorithms and theories to test, calibrate and validate various PSS technologies to characterize soil properties and their variability in space and time; and develop strategies for sustainable soil management. During the grant period, my core research will focus on integrated proximal soil sensing and digital soil mapping (long-term goal) through developing algorithms and theories for fast and non-destructive soil characterization (in-situ, ex-situ, on-the-go, on-the-spot) using individual or a combination of sensors, quantification of soil spatial variability, representative soil sampling, mapping and management zone delineation (short-term goals). These questions will be examined through 6 testable hypotheses in studies conducted by 4 PhD and 4 MSc students with the help of 4 undergraduate summer students over the next 5 years. Gender equity and diversification will be a guiding principle in recruiting and training these HQPs in the era of disruptive technologies in the agri-food production systems with multidisciplinary knowledge through field (10 field across ON), laboratory, modelling, mapping and optimization-based studies. The anticipated impact (nationally and internationally) of this research program lies in developing theories and algorithms for fast and non-destructive soil characterization, quantifying soil distribution and assisting in the development of management decisions for overall economic benefit and agricultural and environmental sustainability at the regional, provincial and national levels. In addition, adoption of these technology-based precision agriculture will reduce the harmful effects of agriculture on our environment by optimizing management of Canada's finite soil resources. This will lead to indirect but valuable and long-term social, health, and environmental benefits for all Canadians.

没有行星B；现在必须实现粮食安全。我们只能通过优化有限土地和可耕地资源的管理来满足不断增长的人口的需求。但是，由于空间和时间变异性，只有通过“更好的测量”才有可能对我们的土壤进行“更好的管理”。与通过传统的抽样和实验室分析来定义土壤生育的“现状”方法不同，近端土壤感应（PSS）技术提供了具有更大空间和时间细节的优质土壤信息，以开发针对特定于投入资源的现场管理，以改善生产并维持环境可持续性。但是，技术的发展速度比我们的知识基础更快，因此限制了他们的采用。对PSS技术的可行性进行理解和表征土壤的可行性的急需研究，这是至关重要的。开发一种框架，算法和理论来测试，校准和验证各种PSS技术，以表征土壤特性及其在时空的变化；并制定可持续土壤管理的策略。 During the grant period, my core research will focus on integrated proximal soil sensing and digital soil mapping (long-term goal) through developing algorithms and theories for fast and non-destructive soil characterization (in-situ, ex-situ, on-the-go, on-the-spot) using individual or a combination of sensors, quantification of soil spatial variability, representative soil sampling, mapping and management zone delineation (short-term goals).这些问题将在未来5年的4名本科夏季学生的帮助下，在4位博士学位和4位MSC学生进行的研究中通过6个可检验的假设进行检查。在农业食品生产系统中，在招募和训练这些HQP的时代，性别平等和多样化将是通过领域（ON跨越10个领域），实验室，建模，映射和基于优化的研究的多学科知识的指导原则。该研究计划的预期影响（在国家和国际上）在于开发用于快速和非破坏性土壤表征的理论和算法，量化土壤分布，并协助在该地区，省级和国家水平的整体经济利益以及整体经济利益，农业和环境可持续性的决策制定决策。此外，采用这些基于技术的精确农业将通过优化对加拿大有限土壤资源的管理来减少农业对环境的有害影响。这将导致所有加拿大人间接但有价值的长期社会，健康和环境利益。