دورية أكاديمية

Statistics and 3D Modelling on Soil Analysis by Using Unmanned Aircraft Systems and Laboratory Data for a Low-Cost Precision Agriculture Approach

التفاصيل البيبلوغرافية
العنوان: Statistics and 3D Modelling on Soil Analysis by Using Unmanned Aircraft Systems and Laboratory Data for a Low-Cost Precision Agriculture Approach
المؤلفون: Alessandro Mei, Alfonso Valerio Ragazzo, Elena Rantica, Giuliano Fontinovo
المصدر: AgriEngineering, Vol 5, Iss 3, Pp 1448-1468 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Agriculture (General)
LCC:Engineering (General). Civil engineering (General)
مصطلحات موضوعية: remote sensing, UAS, soil texture, precision agriculture, statistics, Agriculture (General), S1-972, Engineering (General). Civil engineering (General), TA1-2040
الوصف: The aim of this work was to elaborate a new methodology that can allow for the identification of the topsoil homogeneous area (tSHA) distribution along land parcels, supporting farmers in keeping low-cost, sustainable, and light logistic management of precision agriculture (PA) practices. This paper shows the assessment of tSHA variability over two production units (PUs), considering radiometric response (optical camera), physicochemical (texture, pH, electrical conductivity), and statistical and geostatistical data analysis. By using unmanned aircraft systems (UASs) and laboratory analysis, our results revealed that the integration between UAS-RGB and physicochemical data can improve the estimation accuracy of tSHA distribution. Firstly, the UAS-RGB dataset was used to isolate bare soil from the vegetative radiometric contribution. Secondly, starting from statistical approaches (correlation matrices), the highest correlation with UAS-RGB and physicochemical data was stated. Thirdly, by using a geostatistical approach (ordinary cokriging), the map representing the tSHA variability was finally obtained.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2624-7402
Relation: https://www.mdpi.com/2624-7402/5/3/90; https://doaj.org/toc/2624-7402
DOI: 10.3390/agriengineering5030090
URL الوصول: https://doaj.org/article/9833ce61ef174a8b80a4712a3584fbc1
رقم الأكسشن: edsdoj.9833ce61ef174a8b80a4712a3584fbc1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26247402
DOI:10.3390/agriengineering5030090