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Year 2025, Volume: 6 Issue: 1, 89 - 117, 30.06.2025

Mohammad Muzamil , Rizwan Ul Zama Banday , Danish Gul , Seemi Lohani , Sehreen Rasool , Kezia Rajan , Muzamil Hamid Wani

https://doi.org/10.46592/turkager.1592116

Abstract

References

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A Critical Review on ‘Current Status and Future Implications of Advanced Phenotyping Systems for Monitoring of Agricultural Crops’

Year 2025, Volume: 6 Issue: 1, 89 - 117, 30.06.2025

Mohammad Muzamil , Rizwan Ul Zama Banday , Danish Gul , Seemi Lohani , Sehreen Rasool , Kezia Rajan , Muzamil Hamid Wani

https://doi.org/10.46592/turkager.1592116

Abstract

Phenotyping systems propels the growth of modern agriculture, driving innovations in plant breeding, crop management, precise application of resources and smart agriculture. This review provides a comprehensive analysis of phenotyping systems, exploring their status, technological advancements, challenges and future directions. The evolution from traditional phenotyping to high-throughput phenotyping (HTP) systems with involvement of advanced imaging (visible, infrared, hyperspectral, and thermal), sensors (LIDAR and NIR), data analytics, drones and automated platforms have enabled rapid non-invasive collection of phenotypic information, significantly hastening breeding programs and improving stress tolerance studies. The integration of big data, artificial intelligence (AI) and machine learning (ML) has enhanced data management and interpretation, enabling the development of predictive models and real-time decision-making tools. Despite these advancements, several challenges persist. The technical issues such as data accuracy, resolution and consistency alongside economic concerns related to high cost of implementation, limits the widespread adoption of advanced phenotyping technologies, especially among smallholder farmers. Furthermore, the integration of these technologies with traditional farming practices and the handling of large datasets raises concerns about data privacy, ownership and interpretation. The impending growth of phenotyping lies in advancements such as the integration of AI and genomics, enabling more precise breeding through the linking of genetic information with phenotypic traits. Additionally, the development of low-cost systems is essential to democratize access to precision agriculture, particularly in developing regions. As phenotyping systems continue to advance, they will play a critical role in promoting sustainable agriculture, enhancing resource efficiency, ensuring food security and addressing global climate change.

Keywords

Phenotyping data Agriculture Technologies Artificial intelligence Challenges

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There are 141 citations in total.

Details

Primary Language English
Subjects Agricultural Machine Systems, Agricultural Electrification, Agricultural Energy Systems, Agricultural Automatization
Journal Section Review
Authors

Mohammad Muzamil 0000-0002-1440-2604

Rizwan Ul Zama Banday 0000-0002-2714-3867

Danish Gul 0009-0002-1020-3285

Seemi Lohani 0000-0002-6874-4474

Sehreen Rasool 0009-0007-7288-7041

Kezia Rajan 0000-0002-4515-4551

Muzamil Hamid Wani 0000-0002-9973-9897

Early Pub Date June 27, 2025
Publication Date June 30, 2025
Submission Date November 27, 2024
Acceptance Date March 24, 2025
Published in Issue Year 2025 Volume: 6 Issue: 1

Cite

APA Muzamil, M., Banday, R. U. Z., Gul, D., … Lohani, S. (2025). A Critical Review on ‘Current Status and Future Implications of Advanced Phenotyping Systems for Monitoring of Agricultural Crops’. Turkish Journal of Agricultural Engineering Research, 6(1), 89-117. https://doi.org/10.46592/turkager.1592116
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