NSF award 2641672 · Indiana University

Elements: A Deep Neural Network-based Drone (UAS) Sensing System for 3D Crop Structure Assessment

Final report due

28 January 2028

in 467 days · The award ends on 30 September 2027.

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Decide about an extension2 Jun 2027in 227 days
award ending 2027-09-30 · Research.gov
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Extension request16 Aug 2027in 302 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2027in 337 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 30 September 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2028.

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Award card

Award number: 2641672
Period of support: 1 Oct 2025 – 30 Sep 2027
Amount: $583,703
Awardee: Indiana University, Bloomington, IN
Program: Software Institutes, Capacity: Cyberinfrastructure, Data Cyberinfrastructure
Directorate: CSE

Abstract

This project develops a 3D reconstruction sensing system that can be installed on unmanned aerial systems (UAS), to be used by agricultural researchers, growers, and service providers to assess crop growth. Applying Artificial Intelligence (AI) technology for large scale agriculture reconstruction applications, the sensing system would be able to estimate crop structure for a large coverage area at a much lower cost…

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