Dryland agricultural system is under threat due to climate extremes and unsustainable management. Understanding of climate change impact is important to design adaptation …
Intensive agriculture in Germany is not only highly productive but has also led to detrimental effects in the environment. Crop diversification together with new field arrangements …
Context Collection and analysis of large volumes of on-farm production data are widely seen as key to understanding yield variability among farmers and improving resource-use …
CONTEXT Maize-legume intercropping is common in sub-Saharan Africa. Effects of legumes on the companion maize crop are determined principally by choice of legume …
Yield prediction models can be divided between data-driven and process-based models (crop growth models). The first category contains many different types of models with …
J Zhang, X Lin, C Jiang, X Hu, B Liu, L Liu… - Science of The Total …, 2024 - Elsevier
This study explores the integration of crop phenology models and machine learning approaches for predicting rice phenology across China, to gain a deeper understanding of …
Achieving global food security in the face of climate change is a critical challenge, particularly in vulnerable countries like Indonesia. To effectively address this challenge, a …
JV Silva, VO Pede, AM Radanielson, W Kodama… - Agricultural …, 2022 - Elsevier
CONTEXT Recent studies on yield gap analysis for rice in Southeast Asia revealed different levels of intensification across the main 'rice bowls' in the region. Identifying the key crop …
Southern Africa has been identified as one of the hotspot areas of climate extremes increasing, at the same time many communities in the region are dependent on rain-fed …