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Uses, benefits, comparisons

Adam F. Kola, Marcin Wołk • Litteraria Copernicana (2015)

In this introduction to the volume “Benefits from comparison”, its editors, starting with the etymological meaning of ‘culture’ as ‘cultivation’, the apicultural metaphors of bee pastures and hive products, and both legal and everyday meani...

DOAJ Open Access (DOAJ) DOI: 10.12775/LC.2015.014

Silicon reduces nitrogen stress and improves growth and yield of forage grass under excessive fertilization in tropical soils

Cíntia Cármen de Faria Melo, Danilo Silva Amaral, Renato de Mello Prado, Anderson de Moura Zanine et al. • Scientific Reports (2025)

Abstract Inadequate nitrogen (N) fertilization management in pastures is common and can lead to N deficiency or excess, resulting in physiological imbalances in forage grasses across different regions of the world. Silicon (Si) fertigation ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-03551-1

The Carbon Budget of Land Conversion: Sugarcane Expansion and Implications for a Sustainable Bioenergy Landscape in Southeastern United States

E. Blanc‐Betes, N. Gomez‐Casanovas, C. J. Bernacchi, E. H. Boughton et al. • GCB Bioenergy (2025)

ABSTRACT The expansion of sugarcane onto land currently occupied by improved (IMP) and semi‐native (SN) pastures will reshape the U.S. bioenergy landscape. We combined biometric, ground‐based and eddy covariance methods to investigate the i...

DOAJ Open Access (DOAJ) DOI: 10.1111/gcbb.70058

Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations

Charles Nickmilder, Anthony Tedde, Isabelle Dufrasne, Françoise Lessire et al. • Remote Sensing (2021)

Accurate information about the available standing biomass on pastures is critical for the adequate management of grazing and its promotion to farmers. In this paper, machine learning models are developed to predict available biomass express...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs13030408