Semantic Scholar Open Access 2017 510 sitasi

Precision Agriculture Technologies positively contributing to GHG emissions mitigation, farm productivity and economics

A. Balafoutis B. Beck S. Fountas J. Vangeyte T. V. D. Wal +4 lainnya

Abstrak

Agriculture is one of the economic sectors that affect climate change contributing to greenhouse gas emissions directly and indirectly. There is a trend of agricultural greenhouse gas emissions reduction, but any practice in this direction should not affect negatively farm productivity and economics because this would limit its implementation, due to the high global food and feed demand and the competitive environment in this sector. Precision agriculture practices using high-tech equipment has the ability to reduce agricultural inputs by site-specific applications, as it better target inputs to spatial and temporal needs of the fields, which can result in lower greenhouse gas emissions. Precision agriculture can also have a positive impact on farm productivity and economics, as it provides higher or equal yields with lower production cost than conventional practices. In this work, precision agriculture technologies that have the potential to mitigate greenhouse gas emissions are presented providing a short description of the technology and the impacts that have been reported in literature on greenhouse gases reduction and the associated impacts on farm productivity and economics. The technologies presented span all agricultural practices, including variable rate sowing/planting, fertilizing, spraying, weeding and irrigation.

Topik & Kata Kunci

Penulis (9)

A

A. Balafoutis

B

B. Beck

S

S. Fountas

J

J. Vangeyte

T

T. V. D. Wal

I

I. Soto

M

M. Gómez-Barbero

A

A. Barnes

V

V. Eory

Format Sitasi

Balafoutis, A., Beck, B., Fountas, S., Vangeyte, J., Wal, T.V.D., Soto, I. et al. (2017). Precision Agriculture Technologies positively contributing to GHG emissions mitigation, farm productivity and economics. https://doi.org/10.3390/SU9081339

Akses Cepat

Lihat di Sumber doi.org/10.3390/SU9081339
Informasi Jurnal
Tahun Terbit
2017
Bahasa
en
Total Sitasi
510×
Sumber Database
Semantic Scholar
DOI
10.3390/SU9081339
Akses
Open Access ✓