Sonam Agrawal
Biographic Data
| ID | 6476710 |
|---|---|
| NAME | Sonam Agrawal |
| GIVEN NAMES | Sonam |
| FAMILY NAME | Agrawal |
| SIGNATURE | AGRAWAL S |
| AFFILIATIONS | Motilal Nehru National Institute of Technology |
| ORCID | 0000-0003-1820-9745 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Multisource Satellite Data-Driven Machine Learning Approach for Rice Yield Prediction
Estimation of rice crop yield at the village level is essential because village is the Insurance Unit (IU) for rice crop in many regions in India, and timely and accurate yield information at this scale supports timely and transparent claim settlements for farmers and supports local agricultural planning. To achieve this, a multi-source satellite data-based machine learning approach was used to estimate rice yield at the village level using optic…
Ambient temperature modelling from surface characteristics and associating urban morphology with thermal discomfort
Urban heat island assessment is of paramount importance when monitoring microclimate changes, increased heat stress, mortality and energy consumption. Simply analysing land surface temperature patterns for human comfort and health assessment is often inadequate. In this study, we attempt to resolve this inadequacy with ambient temperature modelling from multiple surface characteristics for a tropical megacity. A 336 datapoint‐based multilinear re…
An investigation of past and future Lulc using multilayer perceptron-Markov chain techniques
Overlooked contributions of Ayurveda literature to the history of physiology of digestion and metabolism
Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection
Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection
Overlooked contributions of Ayurveda literature to the history of physiology of digestion and metabolism
Ambient temperature modelling from surface characteristics and associating urban morphology with thermal discomfort
Urban heat island assessment is of paramount importance when monitoring microclimate changes, increased heat stress, mortality and energy consumption. Simply analysing land surface temperature patterns for human comfort and health assessment is often inadequate. In this study, we attempt to resolve this inadequacy with ambient temperature modelling from multiple surface characteristics for a tropical megacity. A 336 datapoint‐based multilinear re…
An investigation of past and future Lulc using multilayer perceptron-Markov chain techniques
Multisource Satellite Data-Driven Machine Learning Approach for Rice Yield Prediction
Estimation of rice crop yield at the village level is essential because village is the Insurance Unit (IU) for rice crop in many regions in India, and timely and accurate yield information at this scale supports timely and transparent claim settlements for farmers and supports local agricultural planning. To achieve this, a multi-source satellite data-based machine learning approach was used to estimate rice yield at the village level using optic…
Computer Science (3 works) · Artificial Intelligence (2 works) · Biology (2 works) · Environmental Science (2 works) · Geography (2 works) · Mathematics (2 works) · Soil and Land Suitability Analysis (2 works) · Aesthetics (1 work) · Air Quality Monitoring and Forecasting (1 work) · Analytic hierarchy process (1 work)