A transfer learning-based artificial intelligence model for leaf disease assessment

V Gautam, NK Trivedi, A Singh, HG Mohamed, ID Noya… - Sustainability, 2022 - mdpi.com
The paddy crop is the most essential and consumable agricultural produce. Leaf disease
impacts the quality and productivity of paddy crops. Therefore, tackling this issue as early as …

Machine learning and computer vision techniques in continuous beehive monitoring applications: A survey

S Bilik, T Zemcik, L Kratochvila, D Ricanek… - … and Electronics in …, 2024 - Elsevier
The wide use and availability of machine learning and computer vision techniques allows
developing relatively complex monitoring systems in multiple domains. Besides the …

Explainable deep learning study for leaf disease classification

K Wei, B Chen, J Zhang, S Fan, K Wu, G Liu, D Chen - Agronomy, 2022 - mdpi.com
Explainable artificial intelligence has been extensively studied recently. However, the
research of interpretable methods in the agricultural field has not been systematically …

Recognition of sunflower diseases using hybrid deep learning and its explainability with AI

P Ghosh, AK Mondal, S Chatterjee, M Masud… - Mathematics, 2023 - mdpi.com
Sunflower is a crop that has many economic values and ornamental usages. However, its
production can be hampered due to various diseases such as downy mildew, gray mold …

Enhancing mango disease diagnosis through eco-informatics: A deep learning approach

AA Salamai - Ecological Informatics, 2023 - Elsevier
The mango is one of the most popular and economically important fruits in the world, but it is
vulnerable to various diseases that can significantly reduce the quality and yield of the fruit …

Informal waste pickers in guayaquil: Recycling rates, environmental benefits, main barriers, and troubles

J Hidalgo-Crespo, JL Amaya-Rivas, I Ribeiro, M Soto… - Heliyon, 2023 - cell.com
Abstract Systems for managing municipal solid waste are typically ineffective in developing
nations because of governments' deficient financial and administrative frameworks, poor …

Tomato plant leaf disease segmentation and multiclass disease detection using hybrid optimization enabled deep learning

M Badiger, JA Mathew - Journal of Biotechnology, 2023 - Elsevier
Production of crops is increasing day by day in agriculture sectors. The insecurity of food is a
main reason of plant disease and is a main global issue that humans face these days. With …

Deep Learning for Detecting and Classifying the Growth Stages of Consolida regalis Weeds on Fields

AM Almalky, KR Ahmed - Agronomy, 2023 - mdpi.com
Due to the massive surge in the world population, the agriculture cycle expansion is
necessary to accommodate the anticipated demand. However, this expansion is challenged …

[PDF][PDF] Early Skin Disease Identification Using eep Neural Network.

V Gautam, NK Trivedi, A Anand, R Tiwari… - Comput. Syst. Sci …, 2023 - researchgate.net
Skin lesions detection and classification is a prominent issue and difficult even for extremely
skilled dermatologists and pathologists. Skin disease is the most common disorder triggered …

Non-contact measurement of pregnant sows' backfat thickness based on a hybrid CNN-ViT model

X Li, M Yu, D Xu, S Zhao, H Tan, X Liu - Agriculture, 2023 - mdpi.com
Backfat thickness (BF) is closely related to the service life and reproductive performance of
sows. The dynamic monitoring of sows' BF is a critical part of the production process in large …