Semi-supervised learning and attention mechanism for weed detection in wheat
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Agronomy and Crop Science
Reference78 articles.
1. Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems;Ahmad;Comput. Electron. Agric.,2021
2. Integrated analysis of machine learning and deep learning in chili pest and disease identification;Ahmad Loti;J. Sci. Food Agric.,2021
3. Precise weed and maize classification through convolutional neuronal networks;Andrea,2017
4. The impact of temperature variability on wheat yields;Asseng;Global Change Biol.,2011
5. Study on the efficacy of weed control in wheat (Triticum aestivum L.) with tank mixtures of grass herbicides with broadleaved herbicides;Baghestani;Crop Protect.,2008
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