Quality prediction of tractor rotary tillage based on BiConvLSTM with self-attention

Author:

Li Ruo-chen,Wen Chang-kai,Li Shu-yan,Li Rui,Pu Hong-yu,Jiang Yu,Song Zheng-he

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference30 articles.

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2. Bi-directional ConvLSTM U-Net with densley connected convolutions;Azad,2019

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4. Tilling Load Characteristics and Power Requirement for Rotary Tillers;Choi;J. Biosyst. Eng.,1984

5. Cisternas, I., Caro, A., Rodríguez, A., 2019. Precision agriculture implementations: A systematic literature review. In: III International Conference on Agro BigData and Decision Support Systems in Agriculture (BigDSSAgro 2019). 1–4.

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