Semantic Scholar Open Access 2019 44 sitasi

Applications of Photonics in Agriculture Sector: A Review

Jin Yeong Tan P. Ker K. Lau M. Hannan S. G. H. Tang

Abstrak

The agricultural industry has made a tremendous contribution to the foundations of civilization. Basic essentials such as food, beverages, clothes and domestic materials are enriched by the agricultural industry. However, the traditional method in agriculture cultivation is labor-intensive and inadequate to meet the accelerating nature of human demands. This scenario raises the need to explore state-of-the-art crop cultivation and harvesting technologies. In this regard, optics and photonics technologies have proven to be effective solutions. This paper aims to present a comprehensive review of three photonic techniques, namely imaging, spectroscopy and spectral imaging, in a comparative manner for agriculture applications. Essentially, the spectral imaging technique is a robust solution which combines the benefits of both imaging and spectroscopy but faces the risk of underutilization. This review also comprehends the practicality of all three techniques by presenting existing examples in agricultural applications. Furthermore, the potential of these techniques is reviewed and critiqued by looking into agricultural activities involving palm oil, rubber, and agro-food crops. All the possible issues and challenges in implementing the photonic techniques in agriculture are given prominence with a few selective recommendations. The highlighted insights in this review will hopefully lead to an increased effort in the development of photonics applications for the future agricultural industry.

Topik & Kata Kunci

Penulis (5)

J

Jin Yeong Tan

P

P. Ker

K

K. Lau

M

M. Hannan

S

S. G. H. Tang

Format Sitasi

Tan, J.Y., Ker, P., Lau, K., Hannan, M., Tang, S.G.H. (2019). Applications of Photonics in Agriculture Sector: A Review. https://doi.org/10.3390/molecules24102025

Akses Cepat

Lihat di Sumber doi.org/10.3390/molecules24102025
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
44×
Sumber Database
Semantic Scholar
DOI
10.3390/molecules24102025
Akses
Open Access ✓