Actuation Drones in Agriculture: Advancing Precision Pest Management through Biocontrol and Modern Techniques

As global food demand surges, agricultural technology is essential for addressing challenges like environmental degradation, pollution, and water scarcity. Drones, or Unmanned Aerial Vehicles (UAVs), present a promising solution for precision agriculture by providing real-time, accurate data that enhances decision-making in crop management. In pest control, drones offer targeted delivery of natural enemies and biopesticides, improving efficiency and reducing reliance on chemical pesticides. This precision can lead to increased crop yields, reduced environmental impact, and improved livelihoods for farmers by lowering operational costs and optimizing resource use. Despite their potential, adopting drone technology in agriculture faces regulatory challenges, such as the need for certifications, flight restrictions, and operational guidelines. Addressing these regulatory hurdles is crucial for broader implementation. Moreover, collaboration among stakeholders—including researchers, policymakers, agricultural extension workers, and industry players—is vital for advancing drone-assisted pest management and ensuring its practical adoption in diverse farming environments. As we navigate these challenges, actuation drones hold immense promise for transforming pest management practices globally, contributing to sustainable agriculture and enhanced food security. Further research, development, and stakeholder engagement are necessary to fully realize the potential of drones in integrated pest management (IPM) systems.

Authors

Institutions

Publication Details

Journal
Journal of Experimental Agriculture International
Published
2024-09-14
DOI
https://doi.org/10.9734/jeai/2024/v46i92879
Citations
5
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
3.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Actuation Drones in Agriculture: Advancing Precision Pest Management through Biocontrol and Modern Techniques

Gunturi Alekhya, B. V. Jayanth, Sibananda Darjee, B. Thirupam Reddy et al.
5 citations
Journal of Experimental Agriculture International
Smart Agriculture and AI
3.00
article

Actuation Drones in Agriculture: Advancing Precision Pest Management through Biocontrol and Modern Techniques

Gunturi Alekhya, B. V. Jayanth, Sibananda Darjee, B. Thirupam Reddy, Vidya Madhuri E, Nikitha Reddy Gaddam, Raja Reddy Gundreddy, M Shashikala
article en
5 citations

Abstract

As global food demand surges, agricultural technology is essential for addressing challenges like environmental degradation, pollution, and water scarcity. Drones, or Unmanned Aerial Vehicles (UAVs), present a promising solution for precision agriculture by providing real-time, accurate data that enhances decision-making in crop management. In pest control, drones offer targeted delivery of natural enemies and biopesticides, improving efficiency and reducing reliance on chemical pesticides. This precision can lead to increased crop yields, reduced environmental impact, and improved livelihoods for farmers by lowering operational costs and optimizing resource use. Despite their potential, adopting drone technology in agriculture faces regulatory challenges, such as the need for certifications, flight restrictions, and operational guidelines. Addressing these regulatory hurdles is crucial for broader implementation. Moreover, collaboration among stakeholders—including researchers, policymakers, agricultural extension workers, and industry players—is vital for advancing drone-assisted pest management and ensuring its practical adoption in diverse farming environments. As we navigate these challenges, actuation drones hold immense promise for transforming pest management practices globally, contributing to sustainable agriculture and enhanced food security. Further research, development, and stakeholder engagement are necessary to fully realize the potential of drones in integrated pest management (IPM) systems.

Journal of Experimental Agriculture InternationalVol. 46(9)
Indian Agricultural Research Institute (IN)
Openalex Percentile: Top 9%
Smart Agriculture and AI
3.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.