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Realising the

Vision of a

Nutrition

Secure State

Solidaridad’s Good adhya Pradesh improvement have had limited contributes to the United Nations’

Farming – Good is known for its impact so far. More institutionalised sustainable development goals
rich agricultural
mechanisms with community
(SDGs) — in particular, SDG 2 (Zero
Food (GFGF) landscape dotted ownership need to be encouraged Hunger), aimed at eradicating
initiative in Madhya Mwith lush green and implemented. hunger, improving nutrition
levels and promoting sustainable
farms. However, malnutrition is
Pradesh is putting a pressing concern, leading to Towards Improving Health agriculture.
food and nutritional alarmingly high infant and maternal and Nutrition Levels of Rural
security at the heart mortality rates in the state. In Households A trained nutrition team leads
addition, estimates suggest that
awareness initiatives to disseminate
of farming over 50% of the rural population in Committed to sustainable crucial information about balanced
the state, particularly women and development, Solidaridad is working diets, the significance of key
children, is anaemic. to address nutrition and health nutrients, and the impact of
issues in rural Madhya Pradesh nutrition on overall health in project
It is, therefore, quite ironic that a with its Good Farming – Good Food areas. For this purpose, the team
solution to these ills stares one right (GFGF) initiative. Implemented in has been running a platform that
in the face if only one knows where five districts covering around 420 delivers knowledge on beneficial
to look for it. The state is the largest villages, the programme aims to practices to the communities. Acting
producer of soybean, one of the revolutionise farming practices, as a significant service-provider,
most affordable sources of protein. ensuring bountiful harvests and the team also reaches out to and
Yet, communities growing this crop food and nutritional security. interacts closely with community
are among the most impoverished, members.
and traditional models of nutritional The GFGF programme actively

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