Discussion on: CNN-RNN Hybrid Model for Predicting Agricultural Yield from Soil Physico-Chemical Parameters

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Article Title
CNN-RNN Hybrid Model for Predicting Agricultural Yield from Soil Physico-Chemical Parameters
Authored by

Evariste Kantshia Bakatubia
Faculty of Science and Technology, Department of Mathematics and Computer Science, National Pedagogical University (UPN), Kinshasa- Democratic Republic of Congo.

Pascaline Kizodisa Mbilankazi
Department of Computer Science, Sciences and Technology, Higher Pedagogical Institute of Mbanza-Ngungui (ISP/MBANZA), Kinshasa, Democratic Republic of the Congo.

Fortunat Tshimanga Mbuyi
Faculty of Science and Technology, Department of Mathematics and Computer Science, National Pedagogical University (UPN), Kinshasa- Democratic Republic of Congo.

Christian Ntumba Cinema
Faculty of Science and Technology, Department of Mathematics and Computer Science, National Pedagogical University (UPN), Kinshasa- Democratic Republic of Congo.

Charles Djamba Pongembe
Faculty of Science and Technology, Department of Mathematics and Computer Science, National Pedagogical University (UPN), Kinshasa- Democratic Republic of Congo.

Pierre Kamuina Kambayi
Faculty of Science and Technology, Department of Mathematics and Computer Science, University of Kinshasa, Kinshasa- Democratic Republic of Congo.

Pierre Kafunda Katalay
Faculty of Science and Technology, Department of Mathematics and Computer Science, University of Kinshasa, Kinshasa- Democratic Republic of Congo.

DOI or Article Link

https://doi.org/10.9734/ajrcos/2026/v19i7881

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