Applicability of digital color imaging for monitoring nitrogen uptake and fertilizer requirements in crops

Arkadi Zilberman, Jiftah Ben Asher, Shlomo Sarig, Mordecai Dudai, Eli Shlevin, Natan S. Kopeika

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

3 Scopus citations

Abstract

The advancements in remote sensing in combination with sensor technology, both passive and active, enable growers to analyze an entire crop field, its local features and crop conditions. Nutrient deficiency, and in particular nitrogen deficiency, may cause substantial crop losses. This deficiency needs to be identified immediately. A faster the detection and correction, a lesser the damage to the crop yield. In the present work, an applicability of digital color imaging to monitor nitrogen uptake in crops is demonstrated. The measurements were performed in a carrot and wheat fields as well as in a greenhouse. The images of canopy were taken during the entire growing season by use a hand held digital color (RGB) camera together with plants collection for lab analysis. The nitrogen weight in plant leaves, kg/ha, was obtained by image processing and compared with the standard laboratory analysis. Applicability of digital color imaging to monitor N uptake in crops instead of laboratory test is successfully demonstrated. The availability of RGB image-based data for N uptake is faster, timely and less expensive than that of laboratory test and can be obtained by low-cost ground-based imaging devices, unmanned aerial vehicles (UAV) and satellites.

Original languageEnglish
Title of host publicationRemote Sensing for Agriculture, Ecosystems, and Hydrology XX
EditorsChristopher M.U. Neale, Christopher M.U. Neale, Antonino Maltese
PublisherSPIE
ISBN (Electronic)9781510621497
DOIs
StatePublished - 1 Jan 2018
EventRemote Sensing for Agriculture, Ecosystems, and Hydrology XX 2018 - Berlin, Germany
Duration: 10 Sep 201813 Sep 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10783
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRemote Sensing for Agriculture, Ecosystems, and Hydrology XX 2018
Country/TerritoryGermany
CityBerlin
Period10/09/1813/09/18

Keywords

  • artificial neural network
  • crop greenness
  • digital color imaging
  • nitrogen uptake

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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