A satellite based crop water stress index for irrigation scheduling in sugarcane fields

Veysi, Shadman; Naseri, Abd Ali; Hamzeh, Saeid; Bartholomeus, Harm

doi:10.1016/j.agwat.2017.04.016

Cited by 99 publications

(46 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For decades, satellite-based thermal imaging cameras have been extensively used to monitor vegetation and crop conditions on a regional scale [4], estimate energy fluxes and soil moisture [5][6][7][8][9], detect plant water stress [10,11], predict yield [12], and monitor regional drought [13][14][15][16]. However, their usefulness in precision agriculture and small area phenotyping has been mixed due to the fact that their spatial resolution and the homogeneity of data with large pixels is typically not suitable for precision agriculture.…”

Section: Introductionmentioning

confidence: 99%

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

et al. 2019

View full text Add to dashboard Cite

The growing popularity of Unmanned Aerial Vehicles (UAVs) in recent years, along with decreased cost and greater accessibility of both UAVs and thermal imaging sensors, has led to the widespread use of this technology, especially for precision agriculture and plant phenotyping. There are several thermal camera systems in the market that are available at a low cost. However, their efficacy and accuracy in various applications has not been tested. In this study, three commercially available UAV thermal cameras, including ICI 8640 P-series (Infrared Cameras Inc., USA), FLIR Vue Pro R 640 (FLIR Systems, USA), and thermoMap (senseFly, Switzerland) have been tested and evaluated for their potential for forest monitoring, vegetation stress detection, and plant phenotyping. Mounted on multi-rotor or fixed wing systems, these cameras were simultaneously flown over different experimental sites located in St. Louis, Missouri (forest environment), Columbia, Missouri (plant stress detection and phenotyping), and Maricopa, Arizona (high throughput phenotyping). Thermal imagery was calibrated using procedures that utilize a blackbody, handheld thermal spot imager, ground thermal targets, emissivityand atmospheric correction. A suite of statistical analyses, including analysis of variance (ANOVA), correlation analysis between camera temperature and plant biophysical and biochemical traits, and heritability were utilized in order to examine the sensitivity and utility of the cameras against selected plant phenotypic traits and in the detection of plant water stress. In addition, in reference to quantitative assessment of image quality from different thermal cameras, a non-reference image quality evaluator, which primarily measures image focus that is based on the spatial relationship of pixels in different scales, was developed. Our results show that (1) UAV-based thermal imaging is a viable tool in precision agriculture and (2) the three examined cameras are comparable in terms of their efficacy for plant phenotyping. Overall, accuracy, when compared against field measured ground temperature and estimating power of plant biophysical and biochemical traits, the ICI 8640 P-series performed better than the other two cameras, followed by FLIR Vue Pro R 640 and thermoMap cameras. Our results demonstrated that all three UAV thermal cameras provide useful temperature data for precision agriculture and plant phenotying, with ICI 8640 P-series presenting the best results among the three systems. Cost wise, FLIR Vue Pro R 640 is more affordable than the other two cameras, providing a less expensive option for a wide range of applications.

show abstract

Section: Introductionmentioning

confidence: 99%

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

et al. 2019

View full text Add to dashboard Cite

show abstract

“…A considerable amount of research work has been carried out in the area of precision farming using satellite-based remote sensing, and the results are auspicious. Research work including wheat yield variation due to climate variation [55], mapping of irrigated areas using AVHRR time series analysis [56], estimation of crop yield [57][58][59], Crop water stress management [60,61], forest cover classification and monitoring [62] has impacted Indian and global agriculture in terms of productivity analysis and farming management. However, this technique is somewhat limited to coarse resolution and cloud cover, Later on, UAS introduced the cheaper and low altitude alternative to providing high-resolution images.…”

Section: Applicationsmentioning

confidence: 99%

Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review

Singhal¹,

Bansod²,

Mathew³

2018

Preprint

View full text Add to dashboard Cite

In past few years, unmanned aerial vehicles (UAV) or drones has been a hot topic encompassing technology, security issues, rules and regulations globally due to its remarkable advancements and uses in remote sensing and photogrammetry applications. This review paper highlights the evolution and development of UAV, classification and comparison of UAVs along with Hardware and software design challenges with diverse capabilities in civil and military applications. Further, safety and security issues with drones, existing regulations and guidelines to fly the drone, limitations and possible solutions have also been discussed.

show abstract

“…The connection between the soil salinity and canopy temperature, standardized distinction vegetation index and enhanced vegetation index was done in [24]. A remote sensing based trim water pressure index for irrigation schedule was developed by [25] in the sugarcane field. Amid sugarcane, developing season Landsat 8 satellite images were gained.…”

Section: A Soil Moisture Detectionmentioning

confidence: 99%

Thermal Imaging Techniques in Agricultural Applications

N*¹,

Biradar²,

J³

2019

IJITEE

View full text Add to dashboard Cite

Thermal imaging innovation has transformed into an important technique in all fields as a result of its non-ruinous, non-contact method to choose thermal properties and highlights of any object/zone of interest. It is a procedure of improving the permeability of objects in a dark environment by detecting the objects infrared radiation and shaping an image based on that obtained data. This method will be useful in all fields where temperature difference helps in analyzing the area/object. The potential use of this technique in the agricultural field includes irrigation scheduling, soil properties mapping, plant disease detection, crop yield estimation, evaluating the maturity of the crop, etc. This paper briefly reviews some of the works on thermal imaging for agricultural applications

show abstract

A satellite based crop water stress index for irrigation scheduling in sugarcane fields

Cited by 99 publications

References 37 publications

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review

Thermal Imaging Techniques in Agricultural Applications

Contact Info

Product

Resources

About