Current Issue
$0 Diamond Open Access
Published: 2026-08-30
खंड 1 No. 1 (2026): Inaugural Issue on AI in Agriculture & Precision Bio-Systems
The inaugural issue of the Journal of the Deep Science and Technology Consortium focuses on artificial intelligence in agriculture, multi-spectral drone phenotyping, crop pathology, and climate-resilient agritech architectures.
Published by Quantum Science and Technology Pvt Ltd • Deep Science & Technology Consortium
Articles in This Issue Peer-Reviewed Research
Open Access
Research Article
Pages 1–18
Multi-Spectral Computer Vision and Deep Learning for High-Throughput Crop Phenotyping and Precision Nitrogen Telemetry
A Multimodal Convolutional Transformer Framework for Real-Time Canopy Telemetry
Ramesh K. Verma##common.commaListSeparator##Elena Rostova
J. Deep Sci. Tech. Consort. 2026, 1(1), 1–18;
https://doi.org/10.69001/jdstc.2026.1
Open Access
Research Article
Pages 19–42
Interface-Controlled Electronic and Optical Behavior of 2D Heterostructures: Progress and Perspectives for Quantum Sensing
A Comprehensive Review of Moiré Superlattices, Interfacial Charge Dynamics, and Nanofabrication
Marcus Vance##common.commaListSeparator##Aravind Swaminathan##common.commaListSeparator##Daniel K. Lee (##default.groups.name.author##)
J. Deep Sci. Tech. Consort. 2026, 1(1), 19–42;
https://doi.org/10.69001/jdstc.2026.2
Open Access
Research Article
Pages 43–58
Graph Neural Networks and Diffusion Models for De Novo Structural Protein Design and Crop Pathogen Resistance
An SE(3)-Equivariant Generative Diffusion Pipeline for High-Affinity Receptor Binders
Mei-Ling Zhou##common.commaListSeparator##Carlos Mendez##common.commaListSeparator##Vikram S. Mehta (##default.groups.name.author##)
J. Deep Sci. Tech. Consort. 2026, 1(1), 43–58;
https://doi.org/10.69001/jdstc.2026.3