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Ankatwar Gajanan

Publications (6)

Image Processing from Handcrafted Operators to Foundation Models: A Critical Review of Methods, Applications and Recent Advances

Ankatwar Gajanan, Narote Preetham, Gajjala Lilly Rani, Alurwad Tripat Venkatreddy & K Krunal Yadav · Advances in Research · 2026

Digital image processing has evolved from deterministic operators designed around explicit assumptions to data-driven systems that learn representations, priors and decision rules from large image collections. This transition has improved performance in restoration, segmentation,...

Open access Research Article 10.9734/air/2026/v27i51693

Deep Learning for Smart Agriculture: A Comprehensive Review of CNN Architectures, Multispectral Imaging, Explainable AI and Transfer Learning for Crop Disease Detection

Ankatwar Gajanan & Narote Preetham · Asian Journal of Research in Computer Science · 2026

Global food security faces unprecedented pressure from crop diseases, which are responsible for annual yield losses estimated at 20–40% of all food production. The application of deep learning methodologies, particularly convolutional neural network (CNN) architectures, to the au...

Open access Research Article 10.9734/ajrcos/2026/v19i3840

Transfer Learning for Image Processing: A Review and Practical Considerations

K Krunal Yadav & Ankatwar Gajanan · Asian Journal of Research in Computer Science · 2026

Transfer learning has emerged as a transformative paradigm in deep learning–based image processing, enabling effective knowledge reuse from large-scale pretrained models to domain-specific tasks with limited labelled data. While training deep convolutional neural networks (CNNs)...

Open access Research Article 10.9734/ajrcos/2026/v19i2831

Artificial Intelligence in Taxonomy: Advancing Species Identification and Classification

Vemuganti Varaprasad Rao & Ankatwar Gajanan · Asian Journal of Research in Computer Science · 2026

Taxonomy constitutes a fundamental aspect of the study of biological diversity, conservation, and ecological and evolutionary research. Nevertheless, traditional taxonomic methodologies, which depend on morphological and molecular analyses, are frequently slow, necessitate consid...

Open access Research Article 10.9734/ajrcos/2026/v19i1820

Multimodal Emotion Recognition Using Explainable Hybrid CNN-Transformer Networks

Narote Preetham, Alurwad Tripat Venkatreddy, K. Krunal Yadav, Ankatwar Gajanan & Gajjala Lilly Rani · Asian Journal of Research in Computer Science · 2026

Emotion recognition is central to affective computing because it enables intelligent systems to perceive and respond to human affective states in domains such as healthcare, education, customer service, and human–computer interaction. However, unimodal methods based solely on fac...

Open access Research Article 10.9734/ajrcos/2026/v19i7878

Machine Learning Approaches for Predicting Trophic Status in Kotpally Reservoir, Telangana, India Using Limnological and Phytoplankton Indicators

K. Krunal Yadav, Koppula Sampath, N. Naga Sameera & Ankatwar Gajanan · Asian Journal of Research in Computer Science · 2026

Freshwater reservoirs in semi-arid Telangana are critical for irrigation, domestic use, fisheries, and ecosystem services, yet are increasingly threatened by nutrient enrichment from agricultural runoff and other watershed inputs that can accelerate eutrophication and degrade wat...

Open access Research Article 10.9734/ajrcos/2026/v19i3838