PEER-REVIEWED PUBLICATION / APRIL 2026

Efficient CNN for real-time crop disease detection.

Anuja is a co-author of this Apollo Phase I research article published in the International Journal of Computer Applications.

IJCA letter confirming Anuja Gurav's co-authorship and publication — Individual letter of publication issued to Anuja Macchindranath Gurav.

JournalInternational Journal of Computer Applications

ReferenceVolume 187, Number 98, pages 47-51

PublishedApril 2026

DOI10.5120/ijca02c2de6188d7

RESEARCH QUESTION

Can crop disease detection remain useful on constrained devices?

The paper presents a lightweight convolutional neural-network direction for leaf-image disease detection, balancing model footprint and inference time for precision-agriculture use.

AUTHORSHIP

A team publication from Apollo's first mission.

Aarthika Anil Birajdar, Vaishnavi Sanjay Dhuttarge, Siddheshwari Kailas Degaonkar, Anuja Macchindranath Gurav, Sharvari Ravikiran Garad, Ojausvi Ajit Bhave, Aakash Shivdas Chatake and Neeta Alange.

Open journal record Read published paper View publication letter

Publication details and author order follow the journal's official digital-library record. The certificate shown is Anuja's individual publication letter.