Digital transformation in Ukraine during wartime: Challenges and prospects

M Nehrey, I Kostenko, Y Kravchenko - The International Symposium on …, 2022 - Springer
Digital transformation has become one of the main trends of the modern world, supporting
changes in all spheres of life. Digitalization allows easier access to data, simplifies reporting …

Machine learning for food security: current status, challenges, and future perspectives

N Jarray, AB Abbes, IR Farah - Artificial Intelligence Review, 2023 - Springer
A significant amount of study has been conducted on food security forecasting, yet, few
systematic reviews of the literature in this context are available. Recently, Machine Learning …

[PDF][PDF] Accumulation of microplastics in agroecosystems and its effects on terrestrial plants: A short review

MS Islam, S Mondal, PB Angon… - Current Applied Science …, 2023 - researchgate.net
Microplastics are currently a major global threat as they enter the ecosystem in large
quantities daily and are able to persist in the environment for a long period of time. Current …

Digital technology: emerging issue for agriculture

M Nehrey, L Zomchak - … Conference on Artificial Intelligence and Logistics …, 2022 - Springer
The level of digitalization of the agricultural sector is studied. Important prerequisites for
digitalization are access to broadband Internet, the availability of gadgets to help organize …

Application possibilities of data science tools in agriculture: A review

M Nehrey, T Koval, N Rogoza, L Galaieva - International Conference of …, 2022 - Springer
Digitization of agricultural production processes is a prerequisite for a successful strategy for
the development of the agricultural sector. The process of implementing Data Science …

[PDF][PDF] An assessment of the interaction between carbon dioxide emissions and available nutrients from the lifecycle of several agricultural crops.

PB Angon, MMR Khan, SH Tonny - 2022 - researchgate.net
Agricultural products cause the emission of certain significant amount of greenhouse gases.
Carbon dioxide (CO2) is one of the most important greenhouse gases and its emissions are …

Hybrid Convolution Neural Network with Transfer Learning Approach for Agro-Crop Leaf Disease Identification

M Shamiul Islam, U Habiba, M Abu Baten… - … on Computer Science …, 2022 - Springer
Transfer learning is an optimization that assumes faster development and superior
performance when modeling a second task. In this study, we have constructed an integrated …

Automatic LU/LC Mapping Using Google Earth Engine: A Case Study of Egypt's New Delta Project

M Nabil, E Farg, MS Mostafa, NM Afify… - … Conference of Remote …, 2022 - Springer
Accurate and up-to-date land use/Land cover (LULC) spatial maps are essential inputs to
numerous agriculture, environmental and economic applications. Those maps are also …