WEBINAR: DryArc Interface as a R4D framework for collaboration between CGIAR and FAO on Dryland Agriculture

Meeting Recording:

The DryArc Initiative is a research partnership between eight CGIAR Research Centers that aims to strengthen the resilience of rural communities and agri-food systems across the global drylands of the Middle East and North Africa, South, Central, and West Asia as well as Sub-Saharan Africa, representing the DryArc region.

The four pillars of the DryArc action towards achieving the Sustainable Development Goals (SDGs) are:

  1. combining knowledge (local, regional, international) to design systemic innovations,
  2. accelerating scaling up of impactful target innovations,
  3. continuous integration of disruptive technologies,
  4. and enabling institutional environment (decision-making, M&E, absorptive capacity, investment).

Presentation by: Dr. Chandrashekar Biradar

Dr Biradar is a Principal Agroecosystems Scientist and Head of the Geoinformatics; Research Team Leader of GeoAgro and Digital Augmentation. His core expertise focus on the GeoAgro and citizens science for complex system research for accelerating sustainable agroecosystems. 
Site specific crop planning

Mapping real-time rice-fallows in 2018 for supporting pre-planting decision making for pulse intensification in the state of West Bengal, India


Loss of farming system diversity, coupled with soil degradation and water scarcity remain key factors for determining sustainable agricultural productivity and the future of the agri-food systems. 

Agriculture production at present is solely relying on few crops predominantly under monocultures of industrial agriculture. However there exist still many traditional farming systems with a wide array of practices and production functions support the resilience of agroecosystems. 
The diversified agroecosystems are found to be more productive, help in bridging the yield gaps, more sustainable and resilient to extreme climate events. A regular, accurate and costeffective spatial monitoring of rice-based production systems with satellite data made feasible for target specific legume intensification. It provides spatially explicit information retrieval about crop productivity, pattern, inter and intraseasonal as well as farm variability which help developed an integrate agroecosystems. One of the major constraints of rice fallows is related to soil and water management. 
With help of geospatial tools and using water balance studies, site specific crop planning can be suggested based on available soil moisture and crop water requirement of suitable pulse crops.

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