Semantic Scholar Open Access 2023 79 sitasi

Precision Livestock Farming Applications (PLF) for Grazing Animals

Christos Tzanidakis O. Tzamaloukas P. Simitzis Panagiotis Panagakis

Abstrak

Over the past four decades the dietary needs of the global population have been elevated, with increased consumption of animal products predominately due to the advancing economies of South America and Asia. As a result, livestock production systems have expanded in size, with considerable changes to the animals’ management. As grazing animals are commonly grown in herds, economic and labour constraints limit the ability of the producer to individually assess every animal. Precision Livestock Farming refers to the real-time continuous monitoring and control systems using sensors and computer algorithms for early problem detection, while simultaneously increasing producer awareness concerning individual animal needs. These technologies include automatic weighing systems, Radio Frequency Identification (RFID) sensors for individual animal detection and behaviour monitoring, body temperature monitoring, geographic information systems (GIS) for pasture evaluation and optimization, unmanned aerial vehicles (UAVs) for herd management, and virtual fencing for herd and grazing management. Although some commercial products are available, mainly for cattle, the adoption of these systems is limited due to economic and cultural constraints and poor technological infrastructure. This review presents and discusses PLF applications and systems for grazing animals and proposes future research and strategies to improve PLF adoption and utilization in today’s extensive livestock systems.

Penulis (4)

C

Christos Tzanidakis

O

O. Tzamaloukas

P

P. Simitzis

P

Panagiotis Panagakis

Format Sitasi

Tzanidakis, C., Tzamaloukas, O., Simitzis, P., Panagakis, P. (2023). Precision Livestock Farming Applications (PLF) for Grazing Animals. https://doi.org/10.3390/agriculture13020288

Akses Cepat

Lihat di Sumber doi.org/10.3390/agriculture13020288
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
79×
Sumber Database
Semantic Scholar
DOI
10.3390/agriculture13020288
Akses
Open Access ✓