Updated on March 27, 2024

·

Created on October 8, 2018

Pix4Dfields

Drone mapping software for aerial crop analysis and precision agriculture.

Developed By
  1. Parrot
Content Partners
Unknown

Author

Product Description

Pix4Dfields is a photogrammetry software designed for precision agriculture and crop analysis.  It digitizes fields by converting drone images into orthomosaics, digital surface models, index maps, zones and prescription maps allowing maximization of operational efficiency.

Target SDGs

SDG 2: Zero Hunger

SDG 1: No Poverty

Market Suggested Retail Price

$2,600.00

Target Users (Target Impact Group)

Household

Distributors / Implementing Organizations

Pix4D

Manufacturing/Building Method

Software Development

Intellectural Property Type

Copyright

User Provision Model

Direct sales through webpage

Distributions to Date Status

Unknown

Design Specifications

  • Supports image import from any standard RGB cameras and several multispectral cameras like Parrot Sequoia and MicaSense RedEdge
  • Supports import of field boundaries from farming management platforms, or directly input
  • Supports import of orthomosaics, DSMs and index maps
  • Instant mapping with no internet required
  • Vegetation indices supporterd: NDVI, NDRE, VARI, TGI, SIPI2, LCI, BNDVI, GNDVI
  • Supports split and double screen for interpretation and comparison
  • Supports aggregation of information from the vegetation index maps into zones and assign application rates
  • Outputs: Orthomosaic, Field boundaries, Vegetation index maps, Zonation maps, Prescription maps, Annotations

Product Schematics

Technical Support

Pix4D: online and phone

Replacement Components

N/A

Lifecycle

N/A

Manufacturer Specified Performance Parameters

Accuracy: consistent and comparable maps throughout the season Instant results: generation of high-resolution maps while in the field, without internet connection Agriculture intuitive: layer comparison, zone and prescription tools Collaboration: upload and access information between team members

Vetted Performance Status

Acquisition of plot statistical information (NDVI mean, median, stdev and min & max) from indices, helped understand the impact of different agricultural techniques over the crops. Pix4Dfield was updated with radiometric corrections, allowing to map bigger areas while reducing processing time. This reduces waiting times from several hours to minutes.

Safety

N/A

Complementary Technical Systems

Drones are required to capture the images that feed the software

Academic Research and References

Hovhannisyan, T., Efendyan, P., Vardanyan, M., 2018, Creation of a digital model of fields with application of DJI phantom 3 drone and the opportunities of its utilization in agriculture, Annals of Agrarian Science, Volume 16, Issue 2, , ISSN 1512-1887, Pages 177-180

Barrero, O.,  Perdomo, S., 2018, RGB and multispectral UAV image fusion for Gramineae weed detection in rice fields, Precision Agric

Maguire, M., Woldt, W., Neale,  C., Frew, E., Meyer, G., 2017, A Survey of Agricultural Image Processing for Unmanned Aircraft Systems,  ASABE Annual International Meeting

Yang, C., Suh, C., Westbrook, J., 2017, Early identification of cotton fields using mosaicked aerial multispectral imagery, J Appl Rem Sens 11(1) 016008

Barrero, O., Rojas, D., Gonzalez, C.,  2016, Weed detection in rice fields using aerial images and neural networks, 2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA), Bucaramanga,  pp. 1-4

Ihsan, M., Somantri, L., Sugito, N., Himayah, S., Affriani, A., 2018, The Comparison of Stage and Result Processing of Photogrammetric Data Based on Online Cloud ProcessingIOP Conference Series: Earth and Environmental ScienceVolume 286IGEOS International Geography Seminar, Malaysia

Compliance with regulations

N/A

Evaluation methods

Field tests with different organizations  

Other Information

Pix4Dfields knowledge base

Leave a Reply

Explore similar solutions

Agriculture

February 27, 2024

Chotukool

Read Solution

Implemented by

Godrej

Agriculture

January 19, 2024

EOS International Drip Irrigation

Read Solution

Implemented by

EOS International

Agriculture

January 23, 2024

Solar Conduction Dryer

Read Solution

Implemented by

Science for Society

Agriculture

June 1, 2024

WeFarm

Read Solution

Implemented by

Cafedirect Producers’ Foundation

Agriculture

February 26, 2024

Bioguaviare

Read Solution

Implemented by

Bioguaviare

Agriculture

February 13, 2024

Water Governance Institute Aquaponics System

Read Solution

Implemented by

Water Governance Institute

Agriculture

February 23, 2024

GrainMate

Read Solution

Implemented by

SESI technologies

Agriculture

December 26, 2023

WerlWind

Read Solution

Implemented by

University of Toronto Water and Energy Research Lab

Agriculture

February 23, 2024

Veggie Grow Polytunnel Greenhouse

Read Solution
All Solutions

Contribute to E4C's Library of Breakthrough Sustainable Development Technology Solutions

Suggest A Solution

Get more information about Solutions Library and its features.

Learn More

Have thoughts on how we can improve?

Give Us Feedback

Join a global community of changemakers.

Become A Member