Simple Summary Machine learning (ML) offers new approaches for analyzing data and is
particularly interesting for large datasets. Dairy farmers implement a wide range of sensors …

Grassland degradation has been observed worldwide and is often a result of
overexploitation or abandonment. Knowledge‐driven and precise grazing management is …

The study aims to estimate farmers' intentions, barriers, and drivers to use improved
grassland. In 2019, following a snowball sampling technique, 240 farmers from district …

The use of chemical pesticides in agriculture has damaged agricultural land, fisheries,
fauna, and flora. Furthermore, increased mortality and morbidity of humans due to the …

Agricultural systems support societies in various ways but also cause substantial
sustainability challenges. Sustainable agricultural practices are key to achieving …

The concept of resilience gained traction in academic, policy, and development discourse in
recent years, yet its conceptualization and application at the farm level has received little …

Climate-Smart Agricultural (CSA) practices are crucial in managing climatic shocks faced by
smallholder farmers in sub-Saharan Africa. However, evidence on the socio-psychological …

This paper uses an environmentally extended input-output model of the Irish economy to
estimate greenhouse gas (GHG) emissions and economic output multipliers in 2010 for two …

This article examines pathways among farmers' extension participation, the uptake of
recommended farm management practices and economic and environmental sustainability …

Given the relative inefficiency of China's grassland utilisation compared to that of developed
countries, this study analyses the social interaction effect of rotational grazing and its …