PREDICTION OF RANKING OF LOTS OF CORN SEEDS BY ARTIFICIAL INTELLIGENCE
Author:
Affiliation:
1. Universidade Federal de Pelotas, Brasil
Publisher
FapUNIFESP (SciELO)
Subject
Agricultural and Biological Sciences (miscellaneous)
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0100-69162022000400207&tlng=en
Reference27 articles.
1. Artificial neural network-based method to identify five varieties of egyptian faba bean according to seed morphological features;Aboukarima A;Engenharia Agrícola,2020
2. Radiographic analysis to assess the seed structure of Crotalaria juncea L;Arruda N;Journal of Seed Science,2016
3. Machine learning and its applications: A Review;Bansal R;Journal of Applied Science and Computations,2019
4. Modeling yield response to crop management using convolutional neural networks;Barbosa A;Computers and Electronics in Agriculture,2020
5. Regras para análise de sementes,2009
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