Detecting common coccinellids found in sorghum using deep learning models

C Wang, I Grijalva, D Caragea, B McCornack - Scientific Reports, 2023 - nature.com
Increased global production of sorghum has the potential to meet many of the demands of a
growing human population. Developing automation technologies for field scouting is crucial …

Precision Corn Pest Detection: Two-Step Transfer Learning for Beetles (Coleoptera) with MobileNet-SSD

E Maican, A Iosif, S Maican - Agriculture, 2023 - mdpi.com
Using neural networks on low-power mobile systems can aid in controlling pests while
preserving beneficial species for crops. However, low-power devices require simplified …

[HTML][HTML] Comprehensive wheat coccinellid detection dataset: essential resource for digital entomology

I Grijalva, N Clark, E Hamilton, C Orpin, C Perez… - Data in Brief, 2024 - Elsevier
Wheat (Triticum aestivum) is a major cereal crop planted in the Southern Great Plains. This
crop faces diverse pests that can affect their development and reduce yield productivity. For …

Weighted Hausdorff Distance Loss as a Function of Different Metrics in Convolutional Neural Networks for Ladybird Beetle Detection

M Vega, DS Benítez, N Pérez, D Riofrío… - … on Applications of …, 2021 - Springer
This work compares five different distance metrics (ie, Euclidean, Chebyshev, Manhattan,
Mahalanobis, and Canberra) implemented in the weighted Hausdorff distance (WHD) as …

Integrando la ciencia ciudadana y la educación para fomentar los vínculos entre las personas y la naturaleza en áreas urbanas

EP Romero, S Espinoza, D De la Torre, D Espinoza… - …, 2022 - revistas.usfq.edu.ec
Las áreas verdes urbanas pueden alojar una importante biodiversidad y mantener recursos
naturales y servicios ambientales. En un mundo cada vez más urbanizado, estas áreas …