Toward the next generation of digitalization in agriculture based on digital twin paradigm

A Nasirahmadi, O Hensel - Sensors, 2022 - mdpi.com
Digitalization has impacted agricultural and food production systems, and makes application
of technologies and advanced data processing techniques in agricultural field possible …

{FarmBeats}: an {IoT} platform for {Data-Driven} agriculture

D Vasisht, Z Kapetanovic, J Won, X Jin… - … USENIX Symposium on …, 2017 - usenix.org
Data-driven techniques help boost agricultural productivity by increasing yields, reducing
losses and cutting down input costs. However, these techniques have seen sparse adoption …

Internet of underground things in precision agriculture: Architecture and technology aspects

MC Vuran, A Salam, R Wong, S Irmak - Ad Hoc Networks, 2018 - Elsevier
The projected increases in World population and need for food have recently motivated
adoption of information technology solutions in crop fields within precision agriculture …

The digital twin paradigm applied to soil quality assessment: a systematic literature review

L Silva, F Rodríguez-Sedano, P Baptista, JP Coelho - Sensors, 2023 - mdpi.com
This article presents the results regarding a systematic literature review procedure on digital
twins applied to precision agriculture. In particular, research and development activities …

Landslide susceptibility hazard map in southwest Sweden using artificial neural network

AA Shahri, J Spross, F Johansson, S Larsson - Catena, 2019 - Elsevier
Landslides as major geo-hazards in Sweden adversely impact on nearby environments and
socio-economics. In this paper, a landslide susceptibility map using a proposed subdivision …

Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy

Y Hong, Y Liu, Y Chen, Y Liu, L Yu, Y Liu, H Cheng - Geoderma, 2019 - Elsevier
The spectral preprocessing method has become an integral component of soil analysis
through visible and near-infrared (Vis-NIR) spectroscopy. Various spectral pretreatment …

[HTML][HTML] Multivariate random forest for digital soil mapping

S van der Westhuizen, GBM Heuvelink, DP Hofmeyr - Geoderma, 2023 - Elsevier
In digital soil mapping (DSM), soil maps are usually produced in a univariate manner, that is,
each soil map is produced independently and therefore, when multiple soil properties are …

[HTML][HTML] Digital soil mapping of arable land in Sweden–Validation of performance at multiple scales

K Piikki, M Söderström - Geoderma, 2019 - Elsevier
In this study, we produced a detailed digital soil map of topsoil texture and soil organic
matter (SOM) content for 2.4 million ha of arable land in Sweden (DSMS). Three spatially …

Smart fertilizer management: the progress of imaging technologies and possible implementation of plant biomarkers in agriculture

RK Agrahari, Y Kobayashi, TST Tanaka… - Soil Science and …, 2021 - Taylor & Francis
Precise use of fertilizers has been a focal point in world agriculture for years because it
increases crop production and reduces the negative impact of over-fertilization. Smart …

Elaborating Hungarian segment of the global map of salt-affected soils (GSSmap): national contribution to an international initiative

G Szatmári, Z Bakacsi, A Laborczi, O Petrik, R Pataki… - Remote Sensing, 2020 - mdpi.com
Recently, the Global Map of Salt-affected Soils (GSSmap) was launched, which pursued a
country-driven approach and aimed to update the global and country-level information on …