has been cited by the following article(s):
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[1]
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Effect of Pruning in Coffee-Based Agroforestry System on Soil Chemical Properties
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… Series: Earth and …,
2024 |
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[2]
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VARIABILITAS pH TANAH DI LAHAN PERCOBAAN UNIVERSITAS BINA INSAN, LUBUKLINGGAU
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Jurnal Agroteknologi dan Pertanian (JURAGAN) e …,
2024 |
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[3]
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PEDOLOGICAL CHARACTERIZATION, ORGANIC CARBON STOCK AND FERTILITY MAPPING OF SOILS OF GURJE SUBWATERSHED, HADIYA ZONE …
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2023 |
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[4]
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CORRELATION BETWEEN SOIL PH MEASURED IN TWO ELUENTS IN THE CASE OF AGRICULTURAL LAND: CONCLUSIONS REGARDING SOIL …
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Applied Ecology & …,
2023 |
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[5]
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Soil Classification Using Machine Learning, Deep Learning, and Computer Vision: A Review
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Proceedings of International Conference on Recent …,
2023 |
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[6]
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Screening potential local seed species for hydroseeding of post-coal mining land multilayering revegetation.
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… of Degraded & …,
2023 |
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[7]
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An Analysis of the Reaction of Frogbit (Hydrocharis morsus-ranae L.) to Cadmium Contamination with a View to Its Use in the Phytoremediation of Water …
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Applied Sciences,
2023 |
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[8]
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Improving shallot (Allium cepa Aggregatum group) production in acidic soils in West Java, Indonesia: a dissertation presented in partial fulfilment of the requirements …
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2022 |
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[9]
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Improving shallot (Allium cepa Aggregatum group) production in acidic soils in West Java, Indonesia: a dissertation presented in partial fulfilment of the …
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2022 |
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[10]
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Soil profile analysis using interactive visualizations, machine learning, and deep learning
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Computers and Electronics in Agriculture,
2021 |
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[11]
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RDNet: Deep Learning Model for Predicting pH H20 and pHKCl from Soil Vis-NIR Spectra
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2021 IEEE International …,
2021 |
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[1]
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Proceedings of International Conference on Recent Innovations in Computing
Lecture Notes in Electrical Engineering,
2023
DOI:10.1007/978-981-19-9876-8_25
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[2]
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RDNet: Deep Learning Model for Predicting pH H20 and pHKCl from Soil Vis-NIR Spectra
2021 IEEE International Conference on Big Data (Big Data),
2021
DOI:10.1109/BigData52589.2021.9671527
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