Search Results - "Poona, Nitesh"

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  1. 1

    Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning by Loggenberg, Kyle, Strever, Albert, Greyling, Berno, Poona, Nitesh

    Published in Remote sensing (Basel, Switzerland) (01-02-2018)
    “…The detection of water stress in vineyards plays an integral role in the sustainability of high-quality grapes and prevention of devastating crop loses…”
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    Journal Article
  2. 2

    Investigating 2-D and 3-D Proximal Remote Sensing Techniques for Vineyard Yield Estimation by Hacking, Chris, Poona, Nitesh, Manzan, Nicola, Poblete-Echeverría, Carlos

    Published in Sensors (Basel, Switzerland) (22-08-2019)
    “…Vineyard yield estimation provides the winegrower with insightful information regarding the expected yield, facilitating managerial decisions to achieve…”
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    Journal Article
  3. 3

    Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data by Poona, Nitesh, van Niekerk, Adriaan, Ismail, Riyad

    Published in Sensors (Basel, Switzerland) (15-11-2016)
    “…Ensemble classifiers are being widely used for the classification of spectroscopic data. In this regard, the random forest (RF) ensemble has been successfully…”
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    Journal Article
  4. 4

    A Synthesizing Land-cover Classification Method Based on Google Earth Engine: A Case Study in Nzhelele and Levhuvu Catchments, South Africa by Zeng, Hongwei, Wu, Bingfang, Wang, Shuai, Musakwa, Walter, Tian, Fuyou, Mashimbye, Zama Eric, Poona, Nitesh, Syndey, Mavengahama

    Published in Chinese geographical science (01-06-2020)
    “…This study designed an approach to derive land-cover in the South Africa with insufficient ground samples, and made a case demonstration in Nzhelele and…”
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    Journal Article
  5. 5

    Vineyard yield estimation using 2-D proximal sensing: a multitemporal approach by Hacking, Chris, Poona, Nitesh, Poblete-Echeverria, Carlos

    Published in OENO one (23-10-2020)
    “…Vineyard yield estimation is a fundamental aspect in precision viticulture that enables a better understanding of the inherent variability within a vineyard…”
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    Journal Article
  6. 6

    Discriminating the occurrence of pitch canker fungus in Pinus radiata trees using QuickBird imagery and artificial neural networks by Poona, Nitesh K, Ismail, Riyad

    Published in Southern forests (01-03-2013)
    “…Pathogenic fungi, such as Fusarium circinatum, present a serious threat to Pinus radiata plantations. The effective management of infected trees is thus…”
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    Journal Article
  7. 7

    Random Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data by Poona, Nitesh Keshavelal, van Niekerk, Adriaan, Nadel, Ryan Leslie, Ismail, Riyad

    Published in Applied spectroscopy (01-02-2016)
    “…Hyperspectral data collected using a field spectroradiometer was used to model asymptomatic stress in Pinus radiata and Pinus patula seedlings infected with…”
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    Journal Article
  8. 8
  9. 9

    Using Boruta-Selected Spectroscopic Wavebands for the Asymptomatic Detection of Fusarium Circinatum Stress by Poona, Nitesh K., Ismail, Riyad

    “…High spectral resolution multitemporal data were used to model asymptomatic stress caused by Fusarium circinatum in 3-month old Pinus radiata seedlings. The…”
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    Journal Article
  10. 10

    The use of synthetic aperture radar technology for crop biomass monitoring: A systematic review by Parag, Mikka, Lottering, Romano, Peerbhay, Kabir, Agjee, Naeem, Poona, Nitesh

    Published in Remote sensing applications (01-01-2024)
    “…In agriculture, crop biomass is a vital indicator of the overall health of an ecosystem. Recent developments in synthetic aperture radar (SAR) technologies…”
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    Journal Article
  11. 11

    Modelling forest canopy gaps using LiDAR-derived variables by Lombard, Leighton, Ismail, Riyad, Poona, Nitesh

    Published in Geocarto international (28-01-2019)
    “…Remote sensing has revolutionized forest management and has been widely employed to model canopy gaps. In this study, a canopy height model (CHM) and an…”
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    Journal Article
  12. 12

    Reducing hyperspectral data dimensionality using random forest based wrappers by Poona, Nitesh K., Ismail, Riyad

    “…The random forest algorithm has been widely used for classification of hyperspectral data. To improve model interpretation and classification, the random…”
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    Conference Proceeding
  13. 13

    Accuracy assessment of game-based crowdsourced land-use/land cover image classification by Pistorius, Theodor, Poona, Nitesh

    “…Crowd-sourced data has been used as alternative for ground truth data. However, the accuracy of crowd-sourced land use and land cover classification…”
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    Conference Proceeding
  14. 14

    Discriminating the occurrence of pitch canker infection in Pinus radiata forests using high spatial resolution QuickBird data and artificial neural networks by Poona, N. K., Ismail, R.

    “…Pitch canker is causing serious damage to Pinus radiata forests in South Africa. There is an urgent need to find an efficient way to assess the extent and…”
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    Conference Proceeding