Precision Agriculture with AI-Powered Drones: Enhancing Crop Health Monitoring and Yield Prediction

Precision Agriculture is revolutionizing modern agriculture through the utilization of advanced technologies for the optimization of crop production, minimization of environmental impact, as well as the enhancement of decision-making processes. Artificial Intelligence (AI)-powered drones are at the forefront of this transformation, providing innovative solutions for real-time monitoring of crop health, targeted interventions, and accurate yield prediction. This article examines the integration of AI in drone technology for the bolstering of the effectiveness of precision agriculture, focusing on its role in improving crop health assessments, early disease and pest detection, nutrient management, and yield forecasting. Additionally, the paper addressed key challenges, including data processing, scalability, and the integration of AI-powered drones with other agricultural technologies. As technology advances and becomes more affordable, the future of AI-driven drones promises to play a crucial role in shaping sustainable and efficient farming practices globally.

Authors

Publication Details

Journal
International Journal of Latest Technology in Engineering Management & Applied Science
Published
2025-04-03
DOI
https://doi.org/10.51583/ijltemas.2025.140300020
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Precision Agriculture with AI-Powered Drones: Enhancing Crop Health Monitoring and Yield Prediction

Okpala Charles Chikwendu
International Journal of Latest Technology in Engineering Management & Applied Science
Additive Manufacturing and 3D Printing Technologies
article

Precision Agriculture with AI-Powered Drones: Enhancing Crop Health Monitoring and Yield Prediction

Okpala Charles Chikwendu
article en

Abstract

Precision Agriculture is revolutionizing modern agriculture through the utilization of advanced technologies for the optimization of crop production, minimization of environmental impact, as well as the enhancement of decision-making processes. Artificial Intelligence (AI)-powered drones are at the forefront of this transformation, providing innovative solutions for real-time monitoring of crop health, targeted interventions, and accurate yield prediction. This article examines the integration of AI in drone technology for the bolstering of the effectiveness of precision agriculture, focusing on its role in improving crop health assessments, early disease and pest detection, nutrient management, and yield forecasting. Additionally, the paper addressed key challenges, including data processing, scalability, and the integration of AI-powered drones with other agricultural technologies. As technology advances and becomes more affordable, the future of AI-driven drones promises to play a crucial role in shaping sustainable and efficient farming practices globally.

International Journal of Latest Technology in Engineering Management & Applied ScienceVol. 14(3)
Openalex Percentile: Top 94%
Additive Manufacturing and 3D Printing Technologies
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