PSMCMD

Contributors: Dr. Neeta Nain
Research Scholars: Anand Kumar Jain and Sagar Mal Nitharwal
Institute: Malaviya National Institute of Technology Jaipur
Domain Expert: Dr.Pratibha Singh, Rajasthan Agriculture Research Institute (RARI), Durgapura, Jaipur.

Published: 6 November 2025
Version: 1.0
Crops: Papaya and Sugarcane

Diseases:
Sugarcane:
Banded Chlorosis - 471, Brown Spot - 1722, Brown Rust - 314, Dried Leaves - 343, Grassy Shoot - 346, Healthy - 430, Pokkah Boeng - 297, Sett Rot - 642, Viral Disease - 316, Yellow Leaf - 650, Smut - 1194.

Papaya:
Anthracnose - 710, Bacterial Spot - 916, Curl - 1170, Healthy - 456, Ring Spot - 1066.

Expert Ground-truth annotations, includ.ing soil health, humidity, nutrient deficiency, and pathological reports. Validated: by Dr.Pratibha Singh, at the Rajasthan Agriculture Research Institute (RARI), Durgapura, Jaipur.

Papaya and sugarcane are important tropical and subtropical crops whose growth and productivity are highly influenced by environmental conditions. Papaya grows best in warm climates with temperatures of 22–35 °C, moderate humidity, and well-drained sandy loam to loamy soils with a pH of 6.0–7.0, while low temperatures and waterlogging severely affect plant health. It is a short-duration, high-yielding fruit crop but is commonly affected by diseases such as papaya ringspot virus, anthracnose, and powdery mildew, which are managed through healthy planting material, resistant varieties, and proper field practices. Sugarcane requires a hot and humid climate with an optimal temperature range of 20–38 °C, a long growing period, and deep, fertile loamy soils with near-neutral pH. It is a major industrial crop for sugar and bio-fuel production, but diseases such as red rot, smut, and mosaic virus reduce yield and quality, making integrated disease management and resistant varieties essential for sustainable production.
Dataset Related Research Paper reference:

Anand Kumar Jain and Neeta Nain, "Attention-Enhanced Hybrid CNN Architecture for Multi-Crop and Multi-Disease Classification: A Case Study on Papaya and Sugarcane" , 10th IAPR-Endorsed International Conference on Computer Vision and Image Processing CVIP 2025 by :Springer at IIT Ropar / 20 - 31 / 2025 ISBN: Paper ID: 682