5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 5 cited
Causal machine learning for sustainable agroecosystems
Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà Bautista +8
In a changing climate, sustainable agriculture is essential for food security and environmental health. However, it is challenging to understand the complex interactions among its…
cs.LG2023★ 1 cited
Understanding the impacts of crop diversification in the context of climate change: a machine learning approach
Georgios Giannarakis, Ilias Tsoumas, Stelios Neophytides +3
The concept of sustainable intensification in agriculture necessitates the implementation of management practices that prioritize sustainability without compromising productivity.…