Spectral Signature-Based Water Stress Characterization and Prediction of Wheat Yield under Varied Irrigation and Plant Bio-regulator Management Practices

Bal, Santanu Kumar; Wakchaure, G.C.; Potekar, Sunil; Choudhury, B. U.; Choudhary, R. L.; Sahoo, Rabi Narayan

doi:10.1007/s12524-021-01325-6

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…Remote sensing by using satellite data can also help in yield prediction [21,39]. Remote sensing data have shown a major statistical and empirical relationship with crop yield and water indices to predict yield [20]. Water index is used in predicting the grain yield of different genotypes of wheat under sufficient and deficit irrigation conditions, and [40] presented the yield for wheat (winter wheat) in rain-fed condition using the Normalized Water Index (NWI) and Water index (WI) manifesting water stress can negatively impact crop growth and production these spectral indices can predict the yield and benefit the farmers (the prime beneficiary).…”

Section: Crop Yield Predictionmentioning

confidence: 99%

“…The plant type, water content, pigmentation, chlorophyll content are some intrinsic factors that create variation in reflection pattern of light that causes variation and eventually classify the crop and their conditions. The following spectra of electromagnetic radiation and factors affecting the reflection of spectrum [20].…”

Section: Remote Sensing: An Introductionmentioning

confidence: 99%

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A Review on Remote Sensing as a Tool for Irrigation Monitoring and Management

Singh

Karada

Kumar

et al. 2023

IJECC

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Remote sensing has played a vital role in advancement of agriculture and is effective technical method for agriculture crop management. It is a technology which acquisite information regarding objects on earth surface as well as atmosphere from a distance without being in contact with the object. Researchers have proved its high potential with accuracy in the field of agriculture. After various experiments, the qualitative and quantitative assessment of soil, crop and atmosphere demonstrated the better understanding between the crop and its management practices. The collected spatial and temporal data via various passive and active sensors has been utilized not only for morphological study but also for monitoring the vegetation moisture content. The paper reviews about the potential studies carried out to investigate the water content in plant to make use in irrigation management. Diverse spectral reflectance indices have been mentioned from which special emphasis on NDWI has been given. It is an index which is used in remote sensing to assess the crop water status and can be utilized in efficient operation of irrigation to improve water use efficiency (WUE) in agriculture. In order to make irrigation practices more efficient by making the lab restricted irrigation scheduling methods like IW:CPE method applicable in regular practice by using remote sensing. This paper firstly identifies areas where researches and techniques have real-world application. Next, it identifies actual issues that remote sensing could address and solve with further research and its related development. All opportunities for managing agricultural water resources effectively to be explored and made successful through precision agriculture. Using the fast, impartial and reliable information offered by remote sensing is a significant difficulty in the field of water resource management.

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Section: Crop Yield Predictionmentioning

confidence: 99%

Section: Remote Sensing: An Introductionmentioning

confidence: 99%

A Review on Remote Sensing as a Tool for Irrigation Monitoring and Management

Singh

Karada

Kumar

et al. 2023

IJECC

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“…Unlike vegetation indices, water indices such as Normalized Water Index (NWI) use infrared range reflectance to evaluate stomatal conductance and overall photosynthetic efficiency ( Babar et al., 2006 ). Water indices can evaluate and predict relative water content, leaf osmotic potential, stomatal conductance, and canopy temperature( Gutierrez et al., 2010 ; Bal et al., 2021 ; Visitacion et al., 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Remote sensing continuity: a comparison of HTP platforms and potential challenges with field applications

Herr,

Carter

2023

Front. Plant Sci.

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In an era of climate change and increased environmental variability, breeders are looking for tools to maintain and increase genetic gain and overall efficiency. In recent years the field of high throughput phenotyping (HTP) has received increased attention as an option to meet this need. There are many platform options in HTP, but ground-based handheld and remote aerial systems are two popular options. While many HTP setups have similar specifications, it is not always clear if data from different systems can be treated interchangeably. In this research, we evaluated two handheld radiometer platforms, Cropscan MSR16R and Spectra Vista Corp (SVC) HR-1024i, as well as a UAS-based system with a Sentera Quad Multispectral Sensor. Each handheld radiometer was used for two years simultaneously with the unoccupied aircraft systems (UAS) in collecting winter wheat breeding trials between 2018-2021. Spectral reflectance indices (SRI) were calculated for each system. SRI heritability and correlation were analyzed in evaluating the platform and SRI usability for breeding applications. Correlations of SRIs were low against UAS SRI and grain yield while using the Cropscan system in 2018 and 2019. Dissimilarly, the SVC system in 2020 and 2021 produced moderate correlations across UAS SRI and grain yield. UAS SRI were consistently more heritable, with broad-sense heritability ranging from 0.58 to 0.80. Data standardization and collection windows are important to consider in ensuring reliable data. Furthermore, practical aspects and best practices for these HTP platforms, relative to applied breeding applications, are highlighted and discussed. The findings of this study can be a framework to build upon when considering the implementation of HTP technology in an applied breeding program.

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Hybrid Classification Model with Tuned Weights for Crop Yield Prediction

Kolipaka,

Namburu

2023

Wireless Pers Commun

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Spectral Signature-Based Water Stress Characterization and Prediction of Wheat Yield under Varied Irrigation and Plant Bio-regulator Management Practices

Cited by 4 publications

References 33 publications

A Review on Remote Sensing as a Tool for Irrigation Monitoring and Management

A Review on Remote Sensing as a Tool for Irrigation Monitoring and Management

Remote sensing continuity: a comparison of HTP platforms and potential challenges with field applications

Hybrid Classification Model with Tuned Weights for Crop Yield Prediction

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