Hasil Pencarian - Kalimuthu Senthilkumar

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  1. 1
    Evaluating responses by ChatGPT to farmers’ questions on irrigated lowland rice cultivation in Nigeria

    Evaluating responses by ChatGPT to farmers’ questions on irrigated lowland rice cultivation in Nigeria oleh Ali Ibrahim, Kalimuthu Senthilkumar, Kazuki Saito

    Diterbitkan 2024-02-01
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  2. 2
    Potential of Cultivating Dry Season Maize along a Hydrological Gradient of an Inland Valley in Uganda

    Potential of Cultivating Dry Season Maize along a Hydrological Gradient of an Inland Valley in Uganda oleh Simon Alibu, Daniel Neuhoff, Kalimuthu Senthilkumar, Mathias Becker, Ulrich Köpke

    Diterbitkan 2019-10-01
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  3. 3
    Rice Yield Gaps in Smallholder Systems of the Kilombero Floodplain in Tanzania

    Rice Yield Gaps in Smallholder Systems of the Kilombero Floodplain in Tanzania oleh Julius Kwesiga, Kristina Grotelüschen, Kalimuthu Senthilkumar, Daniel Neuhoff, Thomas F. Döring, Mathias Becker

    Diterbitkan 2020-08-01
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  4. 4
    Effect of Organic Amendments on the Productivity of Rainfed Lowland Rice in the Kilombero Floodplain of Tanzania

    Effect of Organic Amendments on the Productivity of Rainfed Lowland Rice in the Kilombero Floodplain of Tanzania oleh Julius Kwesiga, Kristina Grotelüschen, Kalimuthu Senthilkumar, Daniel Neuhoff, Thomas F. Döring, Mathias Becker

    Diterbitkan 2020-08-01
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  5. 5
    Site and Management Effects on Grain Yield and Yield Variability of Rainfed Lowland Rice in the Kilombero Floodplain of Tanzania

    Site and Management Effects on Grain Yield and Yield Variability of Rainfed Lowland Rice in the Kilombero Floodplain of Tanzania oleh Julius Kwesiga, Kristina Grotelüschen, Daniel Neuhoff, Kalimuthu Senthilkumar, Thomas F. Döring, Mathias Becker

    Diterbitkan 2019-10-01
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  6. 6
    Architectural Root Responses of Rice to Reduced Water Availability Can Overcome Phosphorus Stress

    Architectural Root Responses of Rice to Reduced Water Availability Can Overcome Phosphorus Stress oleh Pieterjan De Bauw, Elke Vandamme, Allen Lupembe, Leah Mwakasege, Kalimuthu Senthilkumar, Roel Merckx

    Diterbitkan 2018-12-01
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  7. 7
    Yields and Yield Gaps in Lowland Rice Systems and Options to Improve Smallholder Production

    Yields and Yield Gaps in Lowland Rice Systems and Options to Improve Smallholder Production oleh Thomas Awio, Kalimuthu Senthilkumar, Christian O. Dimkpa, George William Otim-Nape, Paul C. Struik, Tjeerd Jan Stomph

    Diterbitkan 2022-02-01
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  8. 8
    Remineralizing Potential of Natural Nano-Hydroxyapatite Obtained from <i>Epinephelus chlorostigma</i> in Artificially Induced Early Enamel Lesion: An In Vitro Study

    Remineralizing Potential of Natural Nano-Hydroxyapatite Obtained from <i>Epinephelus chlorostigma</i> in Artificially Induced Early Enamel Lesion: An In Vitro Study oleh Ashwathi Mathirat, Pandurang Appana Dalavi, Ashwini Prabhu, Yashaswini Devi G.V., Sukumaran Anil, Kalimuthu Senthilkumar, Gi Hun Seong, Sharan S. Sargod, Sham S. Bhat, Jayachandran Venkatesan

    Diterbitkan 2022-11-01
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  9. 9
    Safeguarding human and planetary health demands a fertilizer sector transformation

    Safeguarding human and planetary health demands a fertilizer sector transformation oleh Prem S. Bindraban, Christian O. Dimkpa, Jason C. White, Frank A. Franklin, Alida Melse‐Boonstra, Nina Koele, Renu Pandey, Jonne Rodenburg, Kalimuthu Senthilkumar, Philip Demokritou, Susanne Schmidt

    Diterbitkan 2020-07-01
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  10. 10
    Genotypic variation in grain P loading across diverse rice growing environments and implications for field P balances

    Genotypic variation in grain P loading across diverse rice growing environments and implications for field P balances oleh Elke Vandamme, Matthias Wissuwa, Terry Rose, Terry Rose, Ibnou Dieng, Khady Nani Drame, Mamadou Fofana, Kalimuthu Senthilkumar, Ramaiah Venuprasad, Demba Jallow, Zacharie Segda, Lalith Suriyagoda, Dinarathna Sirisena, Yoichiro Kato, Kazuki Saito

    Diterbitkan 2016-09-01
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  11. 11
    Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images

    Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images oleh Yu Tanaka, Tomoya Watanabe, Keisuke Katsura, Yasuhiro Tsujimoto, Toshiyuki Takai, Takashi Sonam Tashi Tanaka, Kensuke Kawamura, Hiroki Saito, Koki Homma, Salifou Goube Mairoua, Kokou Ahouanton, Ali Ibrahim, Kalimuthu Senthilkumar, Vimal Kumar Semwal, Eduardo Jose Graterol Matute, Edgar Corredor, Raafat El-Namaky, Norvie Manigbas, Eduardo Jimmy P. Quilang, Yu Iwahashi, Kota Nakajima, Eisuke Takeuchi, Kazuki Saito

    Diterbitkan 2023-01-01
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