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Crossover-based wind-driven optimized convolutional neural network model for tomato leaf disease classification
For the diagnosis and identification of invasive pests and diseases at an earlier stage in tomato plants, an effective plant disease diagnosis system...
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Fish detection method based on improved YOLOv5
In the field of fisheries, detecting the distribution of fish underwater is an important task for achieving accurate bait feeding. However, the...
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Scale-Aware Pomegranate Yield Prediction Using UAV Imagery and Machine Learning
Monitoring the development of trees and accurately estimating the yield are important to improve orchard management and production. Growers need to...
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Categorising cheetah behaviour using tri-axial accelerometer data loggers: a comparison of model resolution and data logger performance
BackgroundExtinction is one of the greatest threats to the living world, endangering organisms globally, advancing conservation to the forefront of...
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Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras
BackgroundUnmanned aerial vehicle (UAV)-based remote sensing provides a flexible, low-cost, and efficient approach to monitor crop growth status at...
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Small Unmanned Aerial Vehicles (UAVs) and Remote Sensing Payloads
This chapter navigates the realm of small Unmanned Aerial Vehicles (UAVs) and their integral role in remote sensing applications, focusing on the...
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Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8
The monitoring of the tassel number and tasseling time reflects the maize growth and is necessary for crop management. However, it mainly depends on...
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Deep migration learning-based recognition of diseases and insect pests in Yunnan tea under complex environments
BackgroundThe occurrence, development, and outbreak of tea diseases and pests pose a significant challenge to the quality and yield of tea,...
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A comparative analysis of deep learning methods for weed classification of high-resolution UAV images
Because weeds compete directly with crops for moisture, nutrients, space, and sunlight, their monitoring and control is an essential necessity in...
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Towards Tree-level Evapotranspiration Estimation with Small UAVs in Precision Agriculture
Estimating evapotranspiration (ET) has been one of the most critical research areas in agriculture because of water scarcity, the growing population,...
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A Novel Detection Method for High-Order SNP Epistatic Interactions Based on Explicit-Encoding-Based Multitasking Harmony Search
To elucidate the genetic basis of complex diseases, it is crucial to discover the single-nucleotide polymorphisms (SNPs) contributing to disease...
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Alevin-fry unlocks rapid, accurate and memory-frugal quantification of single-cell RNA-seq data
The rapid growth of high-throughput single-cell and single-nucleus RNA-sequencing (scRNA-seq and snRNA-seq) technologies has produced a wealth of...
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Factors affecting in vitro regeneration in the model tree Populus trichocarpa I. Medium, environment, and hormone controls on organogenesis
In preparation for a major GWAS (Genome Wide Association Study) of plant regeneration and transformation, a large number of factors were examined for...
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Alignment and map** methodology influence transcript abundance estimation
BackgroundThe accuracy of transcript quantification using RNA-seq data depends on many factors, such as the choice of alignment or map** method and...
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Macrovipera lebetina obtusa Snake Venom as a Modulator of Antitumor Effect in S-180 Sarcoma Mouse Model
AbstractMacrovipera lebetina obtusa (MLO) is a venomous snake endemic to Middle East. Here we describe the therapeutic potential of the MLO snake...
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DistilBERT-based Text Classification for Automated Diagnosis of Mental Health Conditions
Mental health disorders present a substantial global health challenge, underscoring the critical importance of timely diagnosis and intervention for...
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Machine learning workflow for edge computed arrhythmia detection in exploration class missions
Deep-space missions require preventative care methods based on predictive models for identifying in-space pathologies. Deploying such models requires...
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Classification and identification of crop disease based on depthwise separable group convolution and feature fusion
Crop diseases have a significant impact on crop yield and quality, so there is an urgent need for a fast and accurate detection method to identify...
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Fine-grained image classification on bats using VGG16-CBAM: a practical example with 7 horseshoe bats taxa (CHIROPTERA: Rhinolophidae: Rhinolophus) from Southern China
BackgroundRapid identification and classification of bats are critical for practical applications. However, species identification of bats is a...
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Deep Learning-Assisted Techniques for Detection and Prediction of Colorectal Cancer From Medical Images and Microbial Modality
In the past decade, significant progress has been made in the fields of artificial intelligence, machine learning, and deep learning (DL). These...