Dynamically Adjusted Forecasting of Agro-Landscape Productivity Using Massive Computations of Crop Model in GIS Environment

Original title

Dynamically Adjusted Forecasting of Agro-Landscape Productivity Using Massive Computations of Crop Model in GIS Environment

Russian translation

Динамически уточняющийся прогноз продуктивности агроландшафтов с использованием массовых расчётов динамической модели агроэкосистемы в среде ГИС

Translation status: source

Evidence statuses

relation_layer

C — ecosystem

relation_confidence

3 — explicit

relevance_status

Included

body_status

Local full text verified

doi_status

Confirmed

access_status

Metadata only

expert_review

Included

verification_status

Body verified

Details

year

2018

type

Book chapter

venue

New Methods and Results of Landscape Research in Europe, Central Asia and Siberia, Volume III: Monitoring and Modelling of Landscapes

DOI

10.25680/3309.2018.28.99.246

People

• Топаж Александр Григорьевич
• Баденко Владимир Львович
• Медведев Сергей Алексеевич
• Терлеев Виталий Викторович

Topics

• Biomass and yield
• Forecasting and decision support
• GIS and remote sensing
• System architecture

Sources

• Оперативное и долгосрочное прогнозирование продуктивности посевов: русская версия
• New Methods and Results of Landscape Research in Europe, Central Asia and Siberia, volume III: full contents
• Dynamically adjusted forecasting of agro-landscape productivity: OpenAlex metadata
• Official agrotool.ru archive object ATW0088: 3449_rascheti_v_gis.pdf

External links

• https://doi.org/10.25680/3309.2018.28.99.246
• https://web.archive.org/web/20190322164113id_/http://agrotool.ru/content/files/3449_rascheti_v_gis.pdf
• https://www.biosoil.ru/storage/entities/publication/15930/00015930.pdf