Using computational optics for agricultural monitoring with an emphasis on irrigation management zones

I. Klapp*, O. Brand, P. Yafin, S. Papini, N. Oz, I. Bahat, Y. Cohen, V. Alchanatis, N. Sochen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The increasing global water deficit and the constant demand for yield improvement require higher imaging resolution of irrigation management zones (IMZs). Infrared radiometric remote sensing is efficient for IMZ delineation. To provide high spatial resolution, radiometric remote sensing is conducted from a relatively low altitude, raising two constraints: the radiometric camera's price, and the lower altitude that forces lower coverage in a given time. This work presents progress in using methods associated with computational optics to stabilize low-cost thermal cameras and improve the resolution of radiometric cameras. Performance results are promising.

Original languageEnglish
Title of host publicationPrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
EditorsJohn V. Stafford
PublisherWageningen Academic Publishers
Pages665-671
Number of pages7
ISBN (Electronic)9789086863372
DOIs
StatePublished - 2019
Event12th European Conference on Precision Agriculture, ECPA 2019 - Montpellier, France
Duration: 8 Jul 201911 Jul 2019

Publication series

NamePrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

Conference

Conference12th European Conference on Precision Agriculture, ECPA 2019
Country/TerritoryFrance
CityMontpellier
Period8/07/1911/07/19

Funding

FundersFunder number
Israeli Ministry of Agriculture20-12-0030

    Keywords

    • Computational imaging
    • Radiometry
    • Remote sensing and sensors
    • Super resolution

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