Author

Prakash K. Aithal

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Open access Sep 2026

A hybrid ResNet-101 and random forest framework for high-precision multiclass tomato leaf disease classification

A smart yet very precise disease prediction model which combines deep learning and conventional machine learning methods that can help farmers to make timely interventions by facilitating automatic and accurate diagnosis of the disease in the field thus enhancing crop health, crop productivity, and sustainable producti...

Aditya Basavaraj Halingali, Prakash K. Aithal, Sridhara Shankarappa · Scientific Reports · 0 citations

Open access 2026

A Weakly Supervised Deep Learning Framework for Weed Segmentation and Species Classification in Field Images

A weakly supervised design framework to overcome the missing ground-truth segmentation masks and a very cost-effective, end-to-end optimized solution that bridges the gap between coarse, already available datasets and fine-grained precision required for practical field deployment are provided.

Vaibhavv Maheshwari, Shreeya Mohanty, Prakash K. Aithal et al. · IEEE Access · 0 citations

Review Open access Jul 2026

Systematic review of reinforcement learning for automated equity portfolio management from single agent to multi agent systems

The systematic development of single-agent to multi-agent ensemble systems shows great improvements in algorithmic and architecture of DRL-based portfolio management, and the research in the future focuses on the importance of explainable AI integration, meta-learning market regime adaptation, and consistent evaluation...

Aditi Kumar Rout, U. D. Acharya, Prakash K. Aithal et al. · Discover Computing · 0 citations