Agricopter

Agricopter creates precision agriculture solution using Smart technologies with a vision to make farming profitable to farmer, sustainable to environment and productive to meet food  demand.

In this direction, we have been developing various technological solutions across agri-automation and agri-intelligence to equip farmers with modern technologies. 

Case Studies

UAV based Hyperspectral Remote Sensing

UAV based Hyperspectral Remote Sensing

Hyperspectral imaging (HSI) is a technique that analyzes a wide spectrum of light often more than 272 distinct spectral bands across a wavelengths range spanning 400-1000 nm instead of just assigning primary colors (red, green, blue) to each pixel. The unique benefit is the capability to characterize a wide range of chemical and biological traits of plants and soils.

The project focussed on generating crop specific high-spatial, spectral and temporal data by integration of HSI on-board a multi-rotor UAV system , outline the requirement for sensor calibration, flight planning, and development of data post-processing workflows for georeferenced mosaics. This is used to provide robust analysis and crop management advice for all kinds of challenges presented by the diverse conditions of crops.

Collaborator
  • UAV based Hyperspectral Remote Sensing
Drone based Crop Phenotyping

Drone based Crop Phenotyping

Crop phenotyping is the science of characterization of the crops which is particularly important for decision support in agriculture and for plant breeders when selecting the best genotypes that will become the future cultivars well-adapted to different environments. As such, plant phenotyping helps to better understand the functioning of the crops, and this type of informations is often used to calibrate crop models.

Drone based imaging combined with Artificial Intelligence algorithms is a faster, efficient and effective way for Crop phenotyping at a large scale.

The intelligence assists scientists with  understanding agricultural production systems and contributes to improvement of their sustainability, productivity, health and profitability. 

Collaborator
  • Drone based Crop Phenotyping
    ICRISAT
Efficacy studies of Agricopter based Nano Urea application

Efficacy studies of Agricopter based Nano Urea application

Foliar application of Nano Urea (Liquid) at critical crop growth stages of a plant effectively fulfills its nitrogen requirement and leads to higher crop productivity and quality in comparison to conventional urea. 

The project involves efficacy studies of nano urea with Agricopter drones and optimisation of drone parameters for maximum efficiency.

Collaborator
  • Efficacy studies of Agricopter based Nano Urea application
    IFFCO
Package of Practices(PoPs) for Agricopter based Plant Protection

Package of Practices(PoPs) for Agricopter based Plant Protection

India’s 1st deep research project to evaluate and  standardise plant protection using Agricopter drones. The project evaluates efficiency of Agricopter drones for application of various agro chemicals like fungicides, insecticide and plant nutrients

Collaborator
  • Package of Practices(PoPs) for Agricopter based Plant Protection
    PJTSAU,
  • Package of Practices(PoPs) for Agricopter based Plant Protection
    PJTSAU,

Features

01

Plant protection drone

Faster, efficient and effective in operations, spraying drones covers much larger area in minimum time with no harmful health impact on operators.

02

Multi utility aerial platform

Our aerial platform for spraying is extendable to cover other operations across agri value chain from direct seeding, fertilizer broadcasting, variable rate spraying to pollination.

03

Crop Health Monitoring

Our drone based imaging enables continuous monitoring of crops for early stress detections to reduce crop losses and improve farmer productivity. 

04

AI based crop phenotyping

Drone imaging combined with Artificial Intelligence algorithms enables crop phenotyping at scale focussing on various properties like plant counts, plant heights, vegetation etc.

04

Hyperspectral imaging(HSI)

Our HSI system gives information across spectrum giving very detailed information of plant characteristics.

04

Custom solutions

Supports Research Institutes, Agri companies in adopting latest Drone and Artificial Intelligence technologies to serve their clients better and create sustainable agriculture production systems. 

Partnerships & Associations

Upill
RICH
Rallis
Pixxel
NIPHM
NABARD
National
Telangana state of agriculture
ICRISAT
BAYER
Ag hub
IFFCO
ITC Limited

Inspired by

M S Swaminathan, an agricultural scientist, plant geneticist, administrator, and humanitarian. This living legend’s contribution to agricultural science has made an indelible mark on food production.

In the green revolution program, he initiated planting high-yield varieties of wheat and rice in the fields of poor farmers. He is our inspiration for working towards sustainable agriculture practices.

M S Swaminathan
M S Swaminathan
World Food Prize, Agriculturist

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