GT Dataset
The GT dataset in agriculture contains verified field-level crop data used to train AI models for monitoring, insurance, and planning.
About Dataset
The GT (Ground Truth) Dataset in agriculture refers to a curated collection of verified field-level observations used to validate and train models for crop monitoring, yield estimation, and damage assessment. Under initiatives like PMFBY (Pradhan Mantri Fasal Bima Yojana) and CROPIC, GT datasets are generated through systematic data collection involving geo-tagged photographs, crop health indicators, and farmer-reported inputs. These datasets are essential for building AI and machine learning models that support precision agriculture and insurance claim verification.
Purpose of Dataset
The Gt (Ground Truth) Dataset In Agriculture Refers To A Curated Collection Of Verified Field-level Observations Used To Validate And Train Models For Crop Monitoring, Yield Estimation, And Damage Assessment.
Dataset Metadata
NA
All States/UTs
Agriculture, Forestry and Rural Development
Ministry of Agriculture and Farmer Welfare
Structured
Monthly
NA
N.A.
01/12/25 09:34:02
Restricted
Hosted
Secondary
Activity Overview
0
5 
121 
1.34 MB
Tags
- Agriculture
- Agri
License Control
NA
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Data Quality Score Beta
Version Control
Version 1(1.34 MB)
- admin·2 month(s) ago
GTDataset.csv
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