This Project implements a deep-learning based Plant disease classification system using PlantVillage dataset.It leverages a fine-tuned EfficientNet-B0 model to classify plant diseases across 38 ...
Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
Abstract: Plant species recognition is critical in various research domains. In recent years, deep learning approaches, particularly Convolutional Neural Networks (CNNs), have achieved notable success ...
Abstract: Identifying medicinal plants is crucial in herbal medicine, pharmaceutical research, and plant taxonomy. Conventional manual classification techniques tend to be errorprone and ...
Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. By mid-October, the Democrats’ chances ...
Abstract: Accurate and timely identification of plant disease is necessary to optimize crop production and facilitate sustainable farming practices. Human inspection methods tend to be slow, laborious ...
1 College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China 2 Key Laboratory of Smart Animal Husbandry at Universities of Inner Mongolia Autonomous Region, ...
The final, formatted version of the article will be published soon. Agriculture is one of the major backbones of the Indian economy, where rice is the most prominent staple crop across the country.
Abstract: Audio is vital information data for understanding various situations. A multitude of sound features can be explained by analysis through the audio signals. Numerous classification methods ...