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The spatiotemporal variation in heavy metals in China's farmland soil over the past 20 years: a meta-analysis
Accurate information on farmland soil heavy metal elements is needed for pollution
management and strategic decision making at the national level. In this paper, we review the …
management and strategic decision making at the national level. In this paper, we review the …
[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 …
A novel multi-label pest image classifier using the modified Swin Transformer and soft binary cross entropy loss
Q Guo, C Wang, D ** and monitoring locust habitats, as well as prediction of locust outbreaks …
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
B Victor, A Nibali, Z He - IEEE Journal of Selected Topics in …, 2024 - ieeexplore.ieee.org
Agricultural research is essential for increasing food production to meet the needs of a
rapidly growing human population. Collecting large quantities of agricultural data helps to …
rapidly growing human population. Collecting large quantities of agricultural data helps to …
Coupling input and output intensity to explore the sustainable agriculture intensification path in mainland China
Sustainable intensification (SI) of agriculture is widely regarded as an important way to
alleviate the contradiction between the food gap and ecosystem health. Correlate input …
alleviate the contradiction between the food gap and ecosystem health. Correlate input …
[HTML][HTML] Deep metric learning for the classification of MALDI-TOF spectral signatures from multiple species of neotropical disease vectors
Deep Learning techniques have significant advantages for mass spectral classification, such
as parallelized signal correction and feature extraction. Deep Metric Learning models …
as parallelized signal correction and feature extraction. Deep Metric Learning models …
Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles
Forensic entomology is the branch of forensic science that is related to using arthropod
specimens found in legal issues. Fly maggots are one of crucial pieces of evidence that can …
specimens found in legal issues. Fly maggots are one of crucial pieces of evidence that can …
Identification of bagworm (Metisa plana) instar stages using hyperspectral imaging and machine learning techniques
A serious outbreak of leaf-eating insects namely bagworm (Lepidoptera: Psychidae),
especially Metisa plana species, may cause a 43% yield loss in oil palm production due to …
especially Metisa plana species, may cause a 43% yield loss in oil palm production due to …
[HTML][HTML] LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction
The desert locust is one of the most destructive locusts recorded in human history, and it has
caused significant food shortages, monetary losses, and environmental calamities …
caused significant food shortages, monetary losses, and environmental calamities …