Advances in hyperspectral sensing in agriculture: a review

Oliveira, Marcos Renato de; Ribeiro, Sharon Gomes; Mas, Jean-François; Teixeira, Adunias dos Santos

doi:10.5935/1806-6690.20200096

Cited by 5 publications

(10 citation statements)

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“…However, the advent of the precision technology revolution has provided a wide range of opportunities to capture high-value data in these extensive livestock enterprises. This is being realized in intensive livestock systems ( González et al, 2018 ) and cropping enterprises ( Shafi et al, 2019 ; Oliveira et al, 2020 ) but is yet to reach its full potential in the extensive livestock sector.…”

Section: Introductionmentioning

confidence: 99%

Opportunities for precision livestock management in the face of climate change: a focus on extensive systems

et al. 2021

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Section: Introductionmentioning

confidence: 99%

Opportunities for precision livestock management in the face of climate change: a focus on extensive systems

et al. 2021

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“…Spaceborne sensors allow for frequent observations and wide coverage [ 26 ]. The most widely used spaceborne sensor was Hyperion, even after its shutdown in 2017 [ 27 ]. Multiple studies summarize spaceborne hyperspectral sensors and their characteristics [ 16 , 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

“…These spectral bands range from the visible to the Short Wave Infrared (SWIR) region of the spectrum [ 26 ]. Aircrafts follow a flight path at medium to high altitudes (20 km for AVIRIS), with high to medium spatial resolutions (20 m for AVIRIS) [ 27 ]. Hence, airborne sensors are commonly preferred when studying regional characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, sensor maintenance and adjustments can be easily conducted for such airborne sensors when compared to spaceborne ones [ 28 ]. We refer the reader to studies [ 27 , 28 ] for more details about airborne hyperspectral sensors. UAVs can be remotely controlled to perform autonomous flight maneuvers using an embedded autopilot.…”

Section: Introductionmentioning

confidence: 99%

“…UAVs fly closer to the ground where the influence of atmospheric conditions is insignificant [ 29 ]. In addition, they have the advantage of fast deployment due to the compact sensors employed [ 27 ]. However, the low acquisition height, unstable movement, and varying illumination conditions may create challenges for geometric and radiometric corrections [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

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A Systematic Review of Hardware-Accelerated Compression of Remotely Sensed Hyperspectral Images

Altamimi

Youssef

2021

Sensors

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Hyperspectral imaging is an indispensable technology for many remote sensing applications, yet expensive in terms of computing resources. It requires significant processing power and large storage due to the immense size of hyperspectral data, especially in the aftermath of the recent advancements in sensor technology. Issues pertaining to bandwidth limitation also arise when seeking to transfer such data from airborne satellites to ground stations for postprocessing. This is particularly crucial for small satellite applications where the platform is confined to limited power, weight, and storage capacity. The availability of onboard data compression would help alleviate the impact of these issues while preserving the information contained in the hyperspectral image. We present herein a systematic review of hardware-accelerated compression of hyperspectral images targeting remote sensing applications. We reviewed a total of 101 papers published from 2000 to 2021. We present a comparative performance analysis of the synthesized results with an emphasis on metrics like power requirement, throughput, and compression ratio. Furthermore, we rank the best algorithms based on efficiency and elaborate on the major factors impacting the performance of hardware-accelerated compression. We conclude by highlighting some of the research gaps in the literature and recommend potential areas of future research.

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Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges

Ferreira,

Carvalho,

Jorge

et al. 2024

Front. Plant Sci.

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Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. With the expansion of the international seed market with global movement of this propagative plant material, and considering that about 90% of economically important crops grown from seeds, seed pathology emerged as an important discipline. Seed health testing is presently part of quality analysis and carried out by seed enterprises and governmental institutions looking forward to exclude a new pathogen in a country or site. The development of seedborne pathogens detection methods has been following the plant pathogen detection and diagnosis advances, from the use of cultivation on semi-selective media, to antibodies and DNA-based techniques. Hyperspectral imaging (HSI) associated with artificial intelligence can be considered the new frontier for seedborne pathogen detection with high accuracy in discriminating infected from healthy seeds. The development of the process consists of standardization of methods and protocols with the validation of spectral signatures for presence and incidence of contamined seeds. Concurrently, epidemiological studies correlating this information with disease outbreaks would help in determining the acceptable thresholds of seed contamination. Despite the high costs of equipment and the necessity for interdisciplinary collaboration, it is anticipated that health seed certifying programs and seed suppliers will benefit from the adoption of HSI techniques in the near future.

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Advances in hyperspectral sensing in agriculture: a review

Cited by 5 publications

References 0 publications

Opportunities for precision livestock management in the face of climate change: a focus on extensive systems

Opportunities for precision livestock management in the face of climate change: a focus on extensive systems

A Systematic Review of Hardware-Accelerated Compression of Remotely Sensed Hyperspectral Images

Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges

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