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NFSM Dataset

NFSM Dataset

The NFSM dataset is a collection of data on Demonstrations organized under the National Food Security Mission, which shows farmers new agricultural technologies and improved practices on their own fields to boost food grain output.

About Dataset

The NFSNM (National Food Security and Nutrition Mission) – Demonstrations) dataset is a structured and comprehensive compilation of agricultural data generated through field-level demonstrations conducted under the NFSM program. This dataset captures critical information aimed at improving the productivity and sustainability of major food crops such as rice, wheat, pulses, and coarse cereals. It includes detailed records of demonstration plots, covering aspects such as crop variety used, sowing and harvesting dates, input application (fertilizers, pesticides, irrigation), and agronomic practices adopted. Yield data from Demonstration plots is meticulously recorded and compared with traditional farmer practices to assess the impact of improved technologies. The dataset also contains economic parameters like cost of cultivation, gross and net returns, and benefit-cost ratios, providing insights into the financial viability of recommended interventions. Additionally, it documents farmer participation, training activities, and feedback, which are essential for evaluating adoption rates and refining extension strategies. Geo-tagged information and region-specific data further enhance the utility of the dataset for spatial analysis and policy planning. Overall, the NFSM Demonstration dataset serves as a valuable resource for researchers, policymakers, and agricultural extension agencies, enabling evidence-based decision-making and contributing to the mission’s goal of ensuring food security through enhanced crop productivity.

Purpose of Dataset

This Dataset Captures Critical Information Aimed At Improving The Productivity And Sustainability Of Major Food Crops Such As Rice, Wheat, Pulses, And Coarse Cereals. It Includes Detailed Records Of Demonstration Plots, Covering Aspects Such As Crop Variety Used, Sowing And Harvesting Dates, Input Application (Fertilizers, Pesticides, Irrigation), And Agronomic Practices Adopted. Yield Data From Demonstration Plots Is Meticulously Recorded And Compared With Traditional Farmer Practices To Assess The Impact Of Improved Technologies. The Dataset Also Contains Economic Parameters Like Cost Of Cultivation, Gross And Net Returns, And Benefit-cost Ratios, Providing Insights Into The Financial Viability Of Recommended Interventions.

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