LAND.TECHNIK AgEng 2019最新文献_第3页

Automated mobile field laboratory for on-the-go soilnutrient analysis with the ISFET multi-sensor module 使用ISFET多传感器模块进行土壤养分分析的自动化移动现场实验室

LAND.TECHNIK AgEng 2019 Pub Date : 1900-01-01 DOI: 10.51202/9783181023617-377

V. Tsukor, S. Hinck, A. Ruckelshausen, W. Nietfeld, T. Mosler, H. Tesch, F. Lorenz, E. Najdenko, A. Moeller, D. Mentrup

{"title":"Automated mobile field laboratory for on-the-go soilnutrient analysis with the ISFET multi-sensor module","authors":"V. Tsukor, S. Hinck, A. Ruckelshausen, W. Nietfeld, T. Mosler, H. Tesch, F. Lorenz, E. Najdenko, A. Moeller, D. Mentrup","doi":"10.51202/9783181023617-377","DOIUrl":"https://doi.org/10.51202/9783181023617-377","url":null,"abstract":"With the mobile field laboratory soil2data soil sampling and soil nutrient analysis at the same time can be carried out directly on the field. Besides the advantages of a fast data availability of the soil nutrient contents and the omission of soil material transport to the laboratory, it forms a future basis for new application options, e.g. a verification of the current analysis results with existing results and if necessary repetition of the soil testing during the work on the field or a high sampling density. The developed process flow is fully automatic. The measurement results are immediately available and can be stored on external data platforms for analysis and further use. An innovative key component is the custom-specific ISFET multi sensor module. It measures values for the ions NO3, H2PO4 and K, the pH and electrical conductivity of the soil extraction solution. The ISFET multi sensor module is specially developed for soil nutrient analysis. The phosphorus measurement was further developed for the project \"soil2data\". The mobile field laboratory can be used with various vehicles. Introduction Small-scale knowledge and spatial distribution of the soil nutrient content in combination with further information (e.g. soil texture, yield level) is an important basis for site-specific crop production for demand-oriented fertilisation in plant production. An agricultural field is not a homogeneous unit. Within a field, geological or pedogenic differences are often noticeable (e.g. soil texture, soil type) [1] and the yield varies [e.g. 2]. It is often observable that the yield level also varies with the variations in soil conditions [e.g. 3]. For effective, site-specific crop production, this detailed information is of fundamental importance for the specific sub-field, such as yield, soil texture and/or soil nutrient status. Soil sampling is used to determine the nutrient status on arable land or on sub-fields. Among other things, the current soil nutrient status has an important influence on the yield [4, 5, 6]. In the case of site-specific fertilisation, the fertiliser application is adjusted to the site-specific yield and to the current soil nutrient status of that specific sub-field [e.g. 7]. The soil nutrient status can show significant variability within an agricultural field due to different nutrient uptake by plants and different soil textures [3]. Knowledge of the current, small-scale distribution of soil nutrients is an important information for economically and ecologically sustainable plant production [e.g. 4, 2]. A combined soil sampling and soil analysis on the field with a mobile field laboratory creates the conditions for a very fast delivery (< 1 day) of the soil nutrient status. The associated digitalisation of the process allows these analysis values to be automatically made available for other processes (e.g. fertiliser quantity calculation) and the data processing speed to be further increased. This makes it possible to d","PeriodicalId":106789,"journal":{"name":"LAND.TECHNIK AgEng 2019","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125123244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}