Precision Agriculture Technologies for Early Detection of Crop Pests and Diseases

Crop pests and diseases pose significant challenges to agricultural productivity and food security worldwide. Traditional methods for detecting and managing these threats often rely on manual scouting and blanket pesticide applications, which can be labor-intensive, time-consuming, and environmentally harmful. Precision agriculture technologies offer promising solutions for early detection and targeted management of crop pests and diseases. This review article provides a comprehensive overview of the latest precision agriculture tools and techniques for monitoring crop health, detecting pests and diseases, and guiding site-specific interventions. Key technologies discussed include remote sensing, proximal sensing, machine learning, robotics, and Internet of Things (IoT) sensors. The article highlights the potential of these technologies to improve the timeliness, accuracy, and efficiency of pest and disease detection while reducing reliance on chemical inputs. It also discusses the challenges and opportunities for integrating these technologies into current agricultural practices and extension services. The review concludes with recommendations for future research and development to advance precision agriculture solutions for sustainable crop protection.

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Publication Details

Journal
UTTAR PRADESH JOURNAL OF ZOOLOGY
Published
2024-11-02
DOI
https://doi.org/10.56557/upjoz/2024/v45i204588
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20
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Precision Agriculture Technologies for Early Detection of Crop Pests and Diseases

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UTTAR PRADESH JOURNAL OF ZOOLOGY
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Precision Agriculture Technologies for Early Detection of Crop Pests and Diseases

Narinder Panotra, K.S. Pagire, P Ashoka, G. Manisankar, D. N. Chattopadhyay, Y Balachandra, Kurru Charitha, Bal veer Singh, T. K. Sahu
article en
2 citations

Abstract

Crop pests and diseases pose significant challenges to agricultural productivity and food security worldwide. Traditional methods for detecting and managing these threats often rely on manual scouting and blanket pesticide applications, which can be labor-intensive, time-consuming, and environmentally harmful. Precision agriculture technologies offer promising solutions for early detection and targeted management of crop pests and diseases. This review article provides a comprehensive overview of the latest precision agriculture tools and techniques for monitoring crop health, detecting pests and diseases, and guiding site-specific interventions. Key technologies discussed include remote sensing, proximal sensing, machine learning, robotics, and Internet of Things (IoT) sensors. The article highlights the potential of these technologies to improve the timeliness, accuracy, and efficiency of pest and disease detection while reducing reliance on chemical inputs. It also discusses the challenges and opportunities for integrating these technologies into current agricultural practices and extension services. The review concludes with recommendations for future research and development to advance precision agriculture solutions for sustainable crop protection.

UTTAR PRADESH JOURNAL OF ZOOLOGYVol. 45(20)
Acharya N. G. Ranga Agricultural University (IN), Visva-Bharati University (IN), Dr Panjabrao Deshmukh Krishi Vidyapeeth (IN), Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu (IN), Chhattisgarh Swami Vivekanand Technical University (IN), Aware Global Hospital (IN), Chandra Shekhar Azad University of Agriculture and Technology (IN), University of Agricultural Sciences Raichur (IN), Atal Bihari Vajpayee Indian Institute of Information Technology and Management (IN)
Zero hunger
Openalex Percentile: Top 16%
Smart Agriculture and AI
1.20
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