The digital agricultural revolution: a bibliometric analysis literature review

R Bertoglio, C Corbo, FM Renga, M Matteucci - Ieee Access, 2021 - ieeexplore.ieee.org
The application of digital technologies in agriculture can improve traditional practices to
adapt to climate change, reduce Greenhouse Gases (GHG) emissions, and promote a …

[HTML][HTML] Artificial intelligence solutions enabling sustainable agriculture: A bibliometric analysis

PR Bhagat, F Naz, R Magda - PloS one, 2022 - journals.plos.org
There is a dearth of literature that provides a bibliometric analysis concerning the role of
Artificial Intelligence (AI) in sustainable agriculture therefore this study attempts to fill this …

How many gigabytes per hectare are available in the digital agriculture era? A digitization footprint estimation

A Kayad, M Sozzi, DS Paraforos… - … and Electronics in …, 2022 - Elsevier
The applications of digital agriculture technologies are increasing rapidly with increased
interest from the new generation of farmers to use digital solutions. Such technologies …

[HTML][HTML] A concept for application of integrated digital technologies to enhance future smart agricultural systems

G Gebresenbet, T Bosona, D Patterson… - Smart agricultural …, 2023 - Elsevier
Future agricultural systems should increase productivity and sustainability of food production
and supply. For this, integrated and efficient capture, management, sharing, and use of …

[HTML][HTML] The power of on-farm data for improved agronomy

I Macedo, CM Pittelkow, JA Terra, J Castillo, A Roel - Global Food Security, 2024 - Elsevier
Advances in technology and analytics to support data-driven agriculture has important
implications for global food security and environmental sustainability. However, relatively …

[HTML][HTML] Towards trusted data sharing and exchange in agro-food supply chains: Design principles for agricultural data spaces

M Šestak, D Copot - Sustainability, 2023 - mdpi.com
In the modern agricultural landscape, realizing data's full potential requires a unified
infrastructure where stakeholders collaborate and share their data to gain insights and …

Corn grain yield prediction using UAV-based high spatiotemporal resolution imagery, machine learning, and spatial cross-validation

P Killeen, I Kiringa, T Yeap, P Branco - Remote Sensing, 2024 - mdpi.com
Food demand is expected to rise significantly by 2050 due to the increase in population;
additionally, receding water levels, climate change, and a decrease in the amount of …

[HTML][HTML] Linking and sharing technology: partnerships for data innovations for management of agricultural big data

TP Kharel, AJ Ashworth, PR Owens - Data, 2022 - mdpi.com
Combining data into a centralized, searchable, and linked platform will provide a data
exploration platform to agricultural stakeholders and researchers for better agricultural …

Corn grain yield prediction using UAV-based high spatiotemporal resolution multispectral imagery

P Killeen, I Kiringa, T Yeap - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Food demand is expected to rise significantly by 2050 due to the increase in population;
additionally, receding water levels, climate change, and a decrease in the amount of …

Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting

K Johansen, O Lopez, YH Tu, T Li… - ISPRS Journal of …, 2021 - Elsevier
Center pivot irrigation systems are used to enhance crop production in many countries
around the world. Establishing the location and extent of such fields provides information …