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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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AgriDrone: Automated Fertilizer and Pesticide Distribution System

Drone Based pesticide and fertilizer spraying system
Authors: Ghosh, Soumya; Moni, Sayan; Dutta, Soumyadeep; Harsh Vardhan, Uppala;

AgriDrone: Automated Fertilizer and Pesticide Distribution System

Abstract

 Agriculture plays a vital role in economic development and global food security, yet traditional methods of fertilizer and pesticide application remain labor-intensive, time-consuming, and often result in uneven chemical distribution and environmental harm. The proposed AgriDrone: Automated Fertilizer and Pesticide Distribution System introduces an unmanned aerial vehicle (UAV)-based solution designed to enhance precision farming through automated and controlled agrochemical spraying. The system integrates GPS-based navigation, programmable flight control, and a precision dispensing mechanism to ensure uniform coverage across agricultural fields while minimizing chemical wastage. Equipped with sensors for monitoring field conditions and crop density, the drone can optimize spray patterns and intensity in real time, thereby improving efficiency and reducing operational costs. By eliminating direct human involvement in chemical spraying, the system also minimizes health risks to farmers. Experimental evaluation indicates that the AgriDrone system achieves faster coverage, improved uniformity, and reduced input usage compared to conventional manual methods. Overall, the proposed system offers a cost-effective, scalable, and environmentally sustainable solution that supports modern precision agriculture and enhances crop productivity. 

Keywords

AgriDrone, Precision Agriculture, Unmanned Aerial Vehicle (UAV), Automated Spraying System, Fertilizer Distribution, Pesticide Application, Smart Farming, GPS Navigation, Autonomous Drone, Variable Rate Technology (VRT), Sustainable Agriculture, Crop Monitoring, Agrochemical Optimization, IoT in Agriculture, Remote Sensing, Field Mapping, Agricultural Automation, Resource Efficiency, Environmental Protection, Real-Time Monitoring, Drone-Based Farming, Precision Spraying,

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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