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Classification and detection of insects from field images using deep learning for smart pest management: A systematic review
Insect pest is one of the main causes affecting agricultural crop yield and quality all over the
world. Rapid and reliable insect pest monitoring plays a crucial role in population prediction …
world. Rapid and reliable insect pest monitoring plays a crucial role in population prediction …
[HTML][HTML] Application of machine learning in automatic image identification of insects-a review
Y Gao, X Xue, G Qin, K Li, J Liu, Y Zhang, X Li - Ecological Informatics, 2024 - Elsevier
Fast and reliable identification of insect species is crucial for pest management, animal
quarantine, and effective utilization of insect resources. Traditional morphological …
quarantine, and effective utilization of insect resources. Traditional morphological …
[HTML][HTML] Deep learning precision farming: grapes and mango leaf disease detection by transfer learning
In India, half the population depends on agriculture for a livelihood. Microbial diseases are a
significant threat to food security, but their rapid identification remains difficult due to limited …
significant threat to food security, but their rapid identification remains difficult due to limited …
[HTML][HTML] LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases
Fruit production plays a significant role in meeting nutritional needs and contributing to the
lessening of the global food crisis. Plant diseases are quite a common phenomenon that …
lessening of the global food crisis. Plant diseases are quite a common phenomenon that …
Early detection and identification of grape diseases using convolutional neural networks
Crop protection aims to develop an agriculture system that is resilient to common agricultural
threats like diseases, pests, and weeds that result in sub-optimal growth of crops in terms of …
threats like diseases, pests, and weeds that result in sub-optimal growth of crops in terms of …
New trends in detection of harmful insects and pests in modern agriculture using artificial neural networks. a review
Modern and precision agriculture is constantly evolving, and the use of technology has
become a critical factor in improving crop yields and protecting plants from harmful insects …
become a critical factor in improving crop yields and protecting plants from harmful insects …
An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images
Autism spectrum disorder (ASD) is a lifelong neurological condition that affects how a
person interacts and learns. The early and accurate diagnosis of ASD is vital to develo** a …
person interacts and learns. The early and accurate diagnosis of ASD is vital to develo** a …
A primer on artificial intelligence in plant digital phenomics: embarking on the data to insights journey
Artificial intelligence (AI) has emerged as a fundamental component of global agricultural
research that is poised to impact on many aspects of plant science. In digital phenomics, AI …
research that is poised to impact on many aspects of plant science. In digital phenomics, AI …
[HTML][HTML] Deep learning models for automatic identification of plant-parasitic nematode
Plant-parasitic nematodes cause various diseases that can be fatal to the infected plants. It
causes losses to the agricultural industry, such as crop failure and poor crop quality …
causes losses to the agricultural industry, such as crop failure and poor crop quality …
[HTML][HTML] CNN-MLP-Based configurable robotic arm for Smart Agriculture
Amidst escalating global populations and dwindling arable lands, enhancing agricultural
productivity and sustainability is imperative. Addressing the inefficiencies of traditional …
productivity and sustainability is imperative. Addressing the inefficiencies of traditional …