AphidCV 2.0: a new approach to aphid classification, counting and measurement
Abstract
Aphids are a pest of vegetable crops. Counting and classifying aphids helps to assess and predict damage to crops. Traditionally, this process is done manually by an entomologist. With this in mind, this work presents AphidCV 2.0, a software for automatic counting and classification of plate images with these insects. This study shows a new version in Python language, supporting two species, implements a new neural network and improves the performance and accuracy of the first version. Results show a 10-fold reduction in the time to analyze Petri dish images, and a similar accuracy compared to the old neural network. The proposed method is an important step for agricultural research, automating a process subject to fatigue and dramatically increasing the number of samples analyzed in the same time period.References
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S. Shajahan, S. Sivarajan, M. Maharlooei, S. G. Bajwa, J. P. Harmon, J. F. Nowatzki, and I. Cannayen, "Identification and counting of soybean aphids from digital images using shape classification," Transactions of the Asabe, vol. 60, no. 5, pp. 1467–1477, 2017.
N. Carter, A. F. G. Dixon, and R. Rabbinge, Cereal aphid populations: biology, simulation and prediction. Pudoc, 1982.
J. G. A. Barbedo, "Using digital image processing for counting whiteflies on soybean leaves," Journal of Asia-Pacific Entomology, vol. 17, no. 4, pp. 685–694, 2014.
E. A. Lins, J. P. M. Rodriguez, S. I. Scoloski, J. Pivato, M. B. Lima, J. M. C. Fernandes, P. R. V. da Silva Pereira, D. Lau, and R. Rieder, "A method for counting and classifying aphids using computer vision," Computers and Electronics in Agriculture, vol. 169, p. 105200, 2020. [Online]. Available: http://www.sciencedirect.com/science/article/ pii/S0168169919306039
P. Akulwar, "A recommended system for crop disease detection and yield prediction using machine learning approach," in Recommender System with Machine Learning and Artificial Intelligence: Practical Tools and Applications in Medical, Agricultural and Other Industries, S. N. M. and Jyotir Moy Chatterjee and Sarika Jain and Ahmed A. Elngar and Priya Gupta, Ed. John Wiley & Sons, 2020, ch. 8, pp. 141–163.
Published
2020-11-07
How to Cite
RODRIGUEZ, João Pedro Mazuco; RIEDER, Rafael.
AphidCV 2.0: a new approach to aphid classification, counting and measurement.
Companion Proceedings of the Conference on Graphics, Patterns and Images (SIBGRAPI), [S.l.], p. 159-162, nov. 2020.
ISSN 0000-0000.
Available at: <https://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/13001>. Date accessed: 18 may 2024.
doi: https://doi.org/10.5753/sibgrapi.est.2020.13001.
Section
Workshop of Undergraduate Works
