Resilient Precision Agriculture via Agentic Fusion

Published: 15 September 2026| Version 1 | DOI: 10.17632/rn2ppkhypy.1
Contributors:
, Kaliprasanna Swain

Description

This dataset bundles multimodal agriculture data for building and evaluating resilient precision-agriculture models: leaf disease/condition images (classification), a large agro-environmental tabular dataset (stress/suitability modeling), and a reference statistical PDF. It’s suitable for: Image classification (plant/leaf disease & condition recognition) Tabular ML (stress-level prediction, suitability scoring, failure detection) Multimodal fusion / agentic decision support experiments What’s inside (files & folders) 1) Sugarcane leaf disease/condition images (9 classes) Path: dataset/train/, dataset/validation/, dataset/test/ Format: images inside class-named folders (ImageFolder-ready) Splits (image counts): train: 2,358 validation: 596 test: 900 (balanced: 100 images per class) Classes (folder names): 0 Healthy 1 Pokkahboeng 2 Common Rust (Karat Daun) 3 Eye Spot (cincin) 4 yellow Spot (noda Kuning) 5 red spot (noda Merah) 6 Mosaic 7 Streak Mosaic SCSMV (bergaris) 8 Leaf Scald (blendok) 2) Potato leaf disease images (3 classes) Path (root-level folders): dataset/Potato___Early_blight (1,000 images) dataset/Potato___Late_blight (1,000 images) dataset/Potato___healthy (152 images) These can be used as an additional/auxiliary visual dataset (e.g., transfer learning, multi-crop evaluation, domain shift). 3) Agro-environmental tabular dataset (CSV) File: dataset/agro_environmental_dataset.csv Rows: 543,210 Columns: 25 Columns: location_id, soil_type, bulk_density, organic_matter_pct, cation_exchange_capacity, salinity_ec, buffering_capacity, soil_moisture_pct, moisture_limit_dry, moisture_limit_wet, moisture_regime, soil_temp_c, air_temp_c, thermal_regime, light_intensity_par, soil_ph, ph_stress_flag, nitrogen_ppm, phosphorus_ppm, potassium_ppm, nutrient_balance, plant_category, suitability_score, stress_level, failure_flag Target ideas: stress_level (multi-class stress prediction) failure_flag (binary failure prediction) suitability_score (regression/ranking) 4) Reference document (PDF) File: dataset/Five Decades of Odisha Agriculture Statistics_compressed.pdf A reference source for long-horizon agricultural statistics context.

Files

Categories

Sustainable Agriculture, Industrial Agriculture, Conservation Agriculture, Environmental Impact of Agriculture, Agriculture Industry, Precision Agriculture, Monitoring in Agriculture, Agriculture

Licence