Data-driven identification of high-nature value grasslands using Harmonized Landsat Sentinel-2 time series data DOI Creative Commons
Kim-Cedric Gröschler,

Tjark Martens,

Joachim Schrautzer

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 101427 - 101427

Published: Dec. 1, 2024

Language: Английский

Relative contributions of climate and grazing to forage supply in the Yellow River source area DOI

Suizi Wang,

Jiangwen Fan, Miaomiao Wang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124141 - 124141

Published: Jan. 18, 2025

Language: Английский

Citations

0

MECHANIZATION OF GRASSLAND FARMING BY TECHNOLOGICAL VARIANTS WITH MINIMAL INPUTS. A REVIEW DOI Open Access

Vasile MOCANU,

T. A. Ene, E. Marin

et al.

INMATEH Agricultural Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 954 - 970

Published: Jan. 27, 2025

Grassland farming plays a vital role in sustainable agricultural systems, providing forage resources for livestock production and contributing to environmental conservation. However, the labor-intensive nature of grassland management requires significant challenges farmers. The adoption appropriate mechanization technologies can improve efficiency, reduce labor requirements, enhance overall productivity. This paper investigates through technological variants with minimal inputs. incorporation sensor data analytics facilitates real-time monitoring grass growth, enabling farmers make decisions regarding grazing rotations quality. Additionally, utilization smart sensors soil moisture nutrient content allows targeted application inputs, reducing waste optimizing resource utilization. Overall, this article highlights potential inputs efficient farming, improving productivity, sustainability livelihoods

Language: Английский

Citations

0

Data-driven identification of high-nature value grasslands using Harmonized Landsat Sentinel-2 time series data DOI Creative Commons
Kim-Cedric Gröschler,

Tjark Martens,

Joachim Schrautzer

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 101427 - 101427

Published: Dec. 1, 2024

Language: Английский

Citations

0