Proximal Remote Sensing of Herbicide and Drought Stress in Field Grown Colocasia and Sweet Potato Plants by Sunlight-Induced Chlorophyll Fluorescence Imaging

Raji, Sadasivan Nair; Aparna, Geetha Nair; Mohanan, Changatharayil N.; Subhash, Narayanan

doi:10.1007/s12524-016-0612-3

Cited by 5 publications

(7 citation statements)

References 25 publications

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“…The time-series monitoring approach can be advanced using imaging hyperspectral satellite observations (e.g., EnMap) and increasing early damage detection using chlorophyll-fluorescence observations from the upcoming FLEX mission. Monitoring GBH based weed and crop stress using Chlorophyll Fluorescence observations [14] to assess photosynthetic activity promises a shift of the detectable response day closer to the day of treatment and will support the reduction of ambiguities (e.g., differences in metabolism due to different soils or species).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, sensor innovations to detect chlorophyll fluorescence from orbit like ESA FLEX mission [13] will further enhance the quality and application of satellite-based vegetation monitoring in the near future [14]. Monitoring and spatial mapping of plant photosynthetic activity might link plant metabolism to man-made factors, e.g., the application of herbicides, pesticides and fungicides [15].…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series—A Proof-of-Principle

et al. 2019

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In this paper we aim to show a proof-of-principle approach to detect and monitor weed management using glyphosate-based herbicides in agricultural practices. In a case study in Germany, we demonstrate the application of Sentinel-2 multispectral time-series data. Spectral broadband vegetation indices were analysed to observe vegetation traits and weed damage arising from herbicide-based management. The approach has been validated with stakeholder information about herbicide treatment using commercial products. As a result, broadband NDVI calculated from Sentinel-2 data showed explicit feedback after the glyphosate-based herbicide treatment. Vegetation damage could be detected after just two days following of glyphosate-based herbicide treatment. This trend was observed in three different application scenarios, i.e., during growing stage, before harvest and after harvest. The findings of the study demonstrate the feasibility of satellite based broadband NDVI data for the detection of glyphosate-based herbicide treatment and, e.g., the monitoring of latency to harvesting. The presented results can be used to implement monitoring concepts to provide the necessary transparency about weed treatment in agricultural practices and to support environmental monitoring.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series—A Proof-of-Principle

et al. 2019

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“…(1998) assessed the effect of the herbicide linuron on photosynthesis in freshwater algae by using chlorophyll fluorescence to measure the efficiency of photosystem II electron flow (ETR) ( Snel et al., 1998 ). Raji et al. (2016) studied the changes in photosynthetic parameters such as net photosynthetic rate (Pn) and stomatal conductance (gs) in plants such as taro and sweet potato using fluorescence under herbicide and drought stress ( Raji et al., 2016 ).…”

Section: Introductionmentioning

confidence: 99%

“… Raji et al. (2016) studied the changes in photosynthetic parameters such as net photosynthetic rate (Pn) and stomatal conductance (gs) in plants such as taro and sweet potato using fluorescence under herbicide and drought stress ( Raji et al., 2016 ). Agostinetto et al.…”

Section: Introductionmentioning

confidence: 99%

Monitoring weed mechanical and chemical damage stress based on chlorophyll fluorescence imaging

et al. 2023

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Currently, mechanical and chemical damage is the main way to carry out weed control. The use of chlorophyll fluorescence (CF) technology to nondestructively monitor the stress physiological state of weeds is significant to reveal the damage mechanism of mechanical and chemical stresses as well as complex stresses. Under simulated real field environmental conditions, different species and leaf age weeds (Digitaria sanguinalis 2-5 leaf age, and Erigeron canadensis 5-10 leaf age) were subjected to experimental treatments for 1-7 days, and fluorescence parameters were measured every 24 h using a chlorophyll fluorometer. The aim of this study was to investigate the changes in CF parameters of different species of weeds (Digitaria sanguinalis, Erigeron canadensis) at their different stress sites under chemical, mechanical and their combined stresses. The results showed that when weeds (Digitaria sanguinalis and Erigeron canadensis) were chemically stressed in different parts, their leaf back parts were the most severely stressed after 7 days, with photosynthetic inhibition reaching R=75%. In contrast, mechanical stress differs from its changes, and after a period of its stress, each parameter recovers somewhat after 1 to 2 days of stress, with heavy mechanical stress R=11%. Complex stress had the most significant effect on CF parameters, mainly in the timing and efficiency of changes in Fv/Fm, Fq’/Fm’, ETR, Rfd, NPQ and Y(NO), with R reaching 71%-73% after only 3-4 days of complex stress, and its changes in complex stress were basically consistent with the pattern of changes in its chemical stress. The results of the study will help to understand the effects of mechanical and chemical stresses and combined stresses on CF parameters of weeds and serve as a guide for efficient weed control operations and conducting weed control in the future.

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“…CF is a physiological process undergone by plants to dissipate excess energy from photosynthesis to protect tissues by emitting radiation mostly in the red and far-red region of the spectrum (approximately 650 to 850 nm) and, as a by-product of photosynthesis, provides a mechanistic link to plant function [4,5]. Thus, CF offers opportunities to assess vegetation status at leaf, plant, canopy, ecosystem, and global levels across spatial and temporal scales, e.g., [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Plant Stress Monitoring Capabilities Using a Portable Spectrometer and Blue-Red Grow Light

Merrick

Bennartz

Jorge

et al. 2022

Sensors

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Remote sensing offers a non-destructive method to detect plant physiological response to the environment by measuring chlorophyll fluorescence (CF). Most methods to estimate CF require relatively complex retrieval, spectral fitting, or modelling methods. An investigation was undertaken to evaluate measurements of CF using a relatively straightforward technique to detect and monitor plant stress with a spectroradiometer and blue-red light emitting diode (LED). CF spectral response of tomato plants treated with a photosystem inhibitor were assessed and compared to traditional reflectance-based indices: normalized difference vegetation index (NDVI) and photochemical reflectance index (PRI). The blue-red LEDs provided input irradiance and a “window” in the CF emission range of plants (~650 to 850 nm) sufficient to capture distinctive “two-peak” spectra and to distinguish plant health from day to day of the experiment, while within day differences were noisy. CF-based metrics calculated from CF spectra clearly captured signs of vegetation stress earlier than reflectance-based indices and by visual inspection. This CF monitoring technique is a flexible and scalable option for collecting plant function data, especially for indicating early signs of stress. The technique can be applied to a single plant or larger canopies using LED in dark conditions by an individual, or a manned or unmanned vehicle for agricultural or military purposes.

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Proximal Remote Sensing of Herbicide and Drought Stress in Field Grown Colocasia and Sweet Potato Plants by Sunlight-Induced Chlorophyll Fluorescence Imaging

Cited by 5 publications

References 25 publications

Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series—A Proof-of-Principle

Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series—A Proof-of-Principle

Monitoring weed mechanical and chemical damage stress based on chlorophyll fluorescence imaging

Evaluation of Plant Stress Monitoring Capabilities Using a Portable Spectrometer and Blue-Red Grow Light

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