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ICRISAT West and Central Africa Highlights 2018: Systems analysis 

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Resource Details

Resource ID

18390

Access

Open

Contributed by

B.Muralidhar

Topics

Crop improvement, ICT / Knowledge management, Policy & Institutions, Pests and diseases, Aflatoxin

Crops

Grain legumes, Groundnut

Systems

Farming Systems, Livelihood Systems

Locations

West and Central Africa, Nigeria

Global Date

02 Jun 18

Title

ICRISAT West and Central Africa Highlights 2018: Systems analysis

Keywords

WCA Highlights 2018, Systems analysis, Innovation systems, Drylands, Digital agriculture, smallholder farmers, Agricultural advisory services, HOPE II, Nigeria, Microdosing techniques, Socio−economic studies

Language

English

New

West & Central Africa program, Theme: Systems analysis

Size of PDF

2.4 MB

Author/Key contact

SMCO staff

Story Source

ICRISAT West and Central Africa Highlights 2018

Story Published Date

2018-06-02

Story Lead Center

ICRISAT

Type

Science

URL/Link

https://www.slideshare.net/icrisatsmco/icrisat-west-and-central-africa-highlights-2018-systems-analysis

Description

The Research Program on Innovation systems for the drylands aims to improve farm productivity by recognizing the importance of conditions needed to create demand for technologies, and how knowledge produced through systems thinking may be used to bring about such changes. To support its research, ICRISAT focuses on the systemic analysis of conditions that trigger agricultural intensification, and how to support inclusive market−oriented development through digital agriculture and associated technologies. Specifically, automated, remote sensing−based methods to scale up attainable yield gap quantification for locally dominant crops are used and IT platforms developed to include smallholders into networks through enhanced access to credit and financial services, insurance, quality inputs at affordable prices and next generation agricultural advisory services. The research also focuses on improvement of field−scale seasonal yield prediction with satellite data assimilation in smallholder production systems.

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