most citedEvaluating Sugarcane Yield Variability with UAV-Derived Cane Height under Different Water and Nitrogen Conditions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2026

Geography as the Organizing Grammar of Geospatial Models

Rajiv Ranjan, Shashank Tamaskar

GeoAI increasingly produces reusable Earth representation s, physical forecasts, multimodal systems, and reasoning a gents. Their progress exposes two distinct limitations. Geo gra…

cs.CV2026

AgroBench: A Reproducible Multimodal Benchmark for Weakly Supervised Crop Yield Learning from County Statistics and Pixel Observations

Udaiveer Singh, Rajiv Ranjan, Shashank Tamaskar +1

Reliable agricultural yield statistics are typically reported at coarse administrative scales, whereas modern geospatial machine learning methods require spatially explicit, pixel…

cs.CV2026

SPEAR NeXT Causal Latent Forecasting Across Multiple Horizons for Spectral Temporal Earth Representation Learning

Rajiv Ranjan, Udaiveer Singh, Shashank Tamaskar +1

Earth observation is inherently dynamic, yet temporal information in many foundation models is learned through reconstruction, invariance, or retrospective sequence summarization.…

cs.CV2026

CGMap: A Geospatially Aware Deep Learning Framework for Crop Gap Mapping Using UAV

Karan Sharma, Rajiv Ranjan, Dinesh Kumar +1

In India, crop germination is primarily monitored by visual inspection and manual counting, which are prone to errors, despite their crucial role in determining eventual yield pote…

cs.CV2026

STS-NET: Spatio-Temporal Stress Network for Self-Supervised Crop Stress Detection using Satellite Image Time Series

Pradeep Dalal, Rajiv Ranjan, Sushil Ghildiyal +2

Early and accurate detection of crop stress is essential to improve agricultural productivity and ensure global food security. However, collecting a large labeled crop stress datas…

cs.CV2024★ 1 cited

Evaluating Sugarcane Yield Variability with UAV-Derived Cane Height under Different Water and Nitrogen Conditions

Rajiv Ranjan, Tejasavi Birdh, Nandan Mandal +2

This study investigates the relationship between sugarcane yield and cane height derived under different water and nitrogen conditions from pre-harvest Digital Surface Model (DSM)…