The document explains the growing importance of agriculture in the country and the slow adoption of modern technologies compared to other nations. Despite a 72–80% increase in agricultural investment over the past 5–6 years, the goal is to boost production by 70% by 2050. A key solution proposed is precision agriculture using remote sensing and UAV (drone)-based IoT systems.
The text highlights that traditional pesticide use is highly harmful to farmers’ health, causing serious diseases and many deaths annually. To reduce this risk and improve efficiency, drones are being used to spray fertilizers and pesticides safely and accurately.
The study focuses on the design and development of an agricultural drone, including selecting payload capacity, motors, ESCs, propellers, batteries, and frame design based on thrust calculations. The design process is carried out using CAD tools like Fusion 360 and CATIA, involving part modeling, sub-assembly creation, and final assembly of the drone.
A 3D-printed lightweight drone frame improves durability and reduces weight, allowing better efficiency. The drone includes a storage tank for fertilizer/urea and a controlled spraying system. Testing shows that the drone can carry about 1.5 kg payload, with a flight time of around 6–10 minutes depending on load, and can spray fertilizer efficiently over short ranges.
Key features and outcomes include:
Stable flight using brushless motors and control systems
Spray coverage of about 5–10 acres per hour (depending on capacity)
Precision farming using sensors and GPS
Reduced labor, time, and chemical exposure
However, challenges include limited battery life, low payload capacity, weather sensitivity, and maintenance requirements.
Future improvements suggested are hybrid power systems, AI-based navigation, IoT integration, and higher payload capacity for better performance in large-scale farming.
Conclusion
Inthisprojectwehavedesigned a DRONEWITHPESTICIDESSPRAYERbySeeddispersalsystemwhichisanarchitecture built aroundunmannedaerialvehicles(UAVs)anda seedingsystemthatmaybeusedtoconstructa controlloopforagricultural applicationswherea DRONEWITHPESTICIDESSPRAYERby Seeddispersalsystemisinchargeofsowingseeds.By doing this,wecanminimisehumanefforttosomeextent,ifnotmuch.Thiswillenablefastercompletionoftheseedingprocessin agricultural fields.Thiswillincreaseefficiencyandimprove accuracywhileloweringlabourcosts.Within thesignal\'srange, thisis entirely controlledbytheradiotransmitterandreceiver.TheDRONEBASEDPESTICIDESSPRAYER\'sseeddispersalsystem won\'toperateproperlyif we go too faroutsideof thesignalrange.
Thissystem maybefurtherdevelopedin a numberofways,includingbysubstitutingotherequipmentorsystemsfortheseeding system.Forexample,ifa cutterisplaced,thecropwillbecut,ifa sprayer moduleisattachedtoa drone,thedrone willbe usedto spraypesticides,andifexpensiveequipmentisprovided,thesystemwill alsoperformscanningofplants,securitypurposes,and inspectingcropdetailswithspecificseeds,fertilizers,andpesticidesaccordingtosoilconditions.Thewirelesssensornetworkbuilt atground levelonthe agriculturalfieldprovidesfeedbackthatis usedto regulatethe applicationprocess.
Droneswillbeusedinalmosteverysectorofthe economy,butdroneusageinthe agriculturalindustryisbooming.Ourcutting- edge platformis a keyto enablingworldclass practicesfora safe,healthyandsustainablefoodsupplychain.