COMPREHENSIVE INVESTIGATION OF MACHINE LEARNING AND DEEP LEARNING NETWORKS FOR IDENTIFYING MULTISPECIES TOMATO INSECT IMAGES

Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images

Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning models to enhance crop yield and nutrition.Tomato (Solanum lycopersicum), a vegetable crop, frequently suffers from pest damage and drought, leading to reduced yields and financial losses to farmers.Accurate detection and classification of tomato pests

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Comparative Study on the Adaptation and Growth Dynamics of the Helix pomatia and Helix aspersa Muller Terrestrial Snails Under Different Feeding Regimes

We used Helix pomatia and Helix aspersa Conditioner species and measure their growth as the snails were approaching the hibernation season.Helix pomatia 2yo shown a decrease in weight while being raised in enclosed parcels of 4sqm the younger Helix pomatia 1yo as well as Helix aspersa Muller demonstrated the ability to adapt relatively fast to the

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