Geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land use

The work is devoted to geoinformation modeling of potential and really possible yield of leading agricultural crops in the agricultural landscapes of the Simferopol region of the Republic of Crimea. The study area is characterized by high agricultural development, complicated physical and geographic...

Full description

Bibliographic Details
Main Authors: Melnichuk A Yu, Zakalichnaya O V, Popovich V V
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/84/e3sconf_TPACEE2020_04031.pdf
id doaj-d345ca78ac4e4590ae03a18e21f23b7c
record_format Article
spelling doaj-d345ca78ac4e4590ae03a18e21f23b7c2021-04-02T18:46:58ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012240403110.1051/e3sconf/202022404031e3sconf_TPACEE2020_04031Geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land useMelnichuk A Yu0Zakalichnaya O V1Popovich V V2Vernadsky Crimean Federal UniversityVernadsky Crimean Federal UniversityResearch Institute of Agriculture of CrimeaThe work is devoted to geoinformation modeling of potential and really possible yield of leading agricultural crops in the agricultural landscapes of the Simferopol region of the Republic of Crimea. The study area is characterized by high agricultural development, complicated physical and geographical location and insufficient moisture. Algorithm for geoinformation modeling of potential and really possible crop yields by the amount of arrival of photosynthetically active radiation for each point of input surface is considered. The resulting cartogram of averaged values deviation of potential and really possible yields from actual for leading agricultural crops can be used in the development of scientifically based recommendations for transformation of agricultural lands in complicated physical and geographical conditions.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/84/e3sconf_TPACEE2020_04031.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Melnichuk A Yu
Zakalichnaya O V
Popovich V V
spellingShingle Melnichuk A Yu
Zakalichnaya O V
Popovich V V
Geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land use
E3S Web of Conferences
author_facet Melnichuk A Yu
Zakalichnaya O V
Popovich V V
author_sort Melnichuk A Yu
title Geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land use
title_short Geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land use
title_full Geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land use
title_fullStr Geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land use
title_full_unstemmed Geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land use
title_sort geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land use
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description The work is devoted to geoinformation modeling of potential and really possible yield of leading agricultural crops in the agricultural landscapes of the Simferopol region of the Republic of Crimea. The study area is characterized by high agricultural development, complicated physical and geographical location and insufficient moisture. Algorithm for geoinformation modeling of potential and really possible crop yields by the amount of arrival of photosynthetically active radiation for each point of input surface is considered. The resulting cartogram of averaged values deviation of potential and really possible yields from actual for leading agricultural crops can be used in the development of scientifically based recommendations for transformation of agricultural lands in complicated physical and geographical conditions.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/84/e3sconf_TPACEE2020_04031.pdf
work_keys_str_mv AT melnichukayu geoinformationmodelingofpotentialproductivityinagriculturallandscapesfortheformationofsustainablelanduse
AT zakalichnayaov geoinformationmodelingofpotentialproductivityinagriculturallandscapesfortheformationofsustainablelanduse
AT popovichvv geoinformationmodelingofpotentialproductivityinagriculturallandscapesfortheformationofsustainablelanduse
_version_ 1721550978982871040