IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11209-d909075.html
   My bibliography  Save this article

Performance Assessment of a Sensor-Based Variable-Rate Real-Time Fertilizer Applicator for Rice Crop

Author

Listed:
  • Hasan Mirzakhaninafchi

    (Department of Agricultural Machinery and Technologies Engineering, Faculty of Agriculture, Ataturk University, Erzurum 25240, Turkey)

  • Manjeet Singh

    (Department of Farm Machinery and Power Engineering, College of Agricultural Engineering and Technology (COAET), Punjab Agricultural University (PAU), Ludhiana 141004, India)

  • Anoop Kumar Dixit

    (Department of Farm Machinery and Power Engineering, College of Agricultural Engineering and Technology (COAET), Punjab Agricultural University (PAU), Ludhiana 141004, India)

  • Apoorv Prakash

    (Department of Farm Machinery and Power Engineering, College of Agricultural Engineering and Technology (COAET), Punjab Agricultural University (PAU), Ludhiana 141004, India)

  • Shikha Sharda

    (Department of Farm Machinery and Power Engineering, College of Agricultural Engineering and Technology (COAET), Punjab Agricultural University (PAU), Ludhiana 141004, India)

  • Jugminder Kaur

    (Department of Farm Machinery and Power Engineering, College of Agricultural Engineering and Technology (COAET), Punjab Agricultural University (PAU), Ludhiana 141004, India)

  • Ali Mirzakhani Nafchi

    (Precision Agriculture Extension, Raven Precision Agriculture Center, South Dakota State University, Brookings, SD 57007, USA)

Abstract

Variable-rate technology (VRT) may reduce input costs, increase crop productivity and quality, and help to protect the environment. The present study was conducted to evaluate the performance of a variable-rate fertilizer applicator for rice ( Oryza sativa L.). Three replications were conducted, each of which was divided into four plots. Field performance of the system was assessed at different nitrogen levels (N1 to N4, i.e., 75, 125, 175, 225 kg ha −1 ), growth stages (tillering, panicle initiation, heading), and heights (40, 60, 80, 100 cm) of the sensor from the crop canopy. Fertilizer rate was at minimum 12.59 kg ha −1 at 10 rpm of drive-shaft rotational speed and at maximum 50.41 kg ha −1 at 40 rpm. The system response time was within the range of 3.53 to 4.93 s, with overall error ranging between 0.83% to 4.92%. Across different growth stages, when fertilizer rate was increased from N1 to N4, NDVI increased from 0.49 to 0.69. Hence, drive-shaft rotational speed is decreased from 25 to 7 rpm to shift the application rate from 30.83 to 9.15 kg ha −1 . There was a 45% reduction in total fertilizer rate applied by the system, with respect to the recommended rate.

Suggested Citation

  • Hasan Mirzakhaninafchi & Manjeet Singh & Anoop Kumar Dixit & Apoorv Prakash & Shikha Sharda & Jugminder Kaur & Ali Mirzakhani Nafchi, 2022. "Performance Assessment of a Sensor-Based Variable-Rate Real-Time Fertilizer Applicator for Rice Crop," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11209-:d:909075
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11209/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/18/11209/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sharma, Vasudha & Irmak, Suat, 2021. "Comparative analyses of variable and fixed rate irrigation and nitrogen management for maize in different soil types: Part I. Impact on soil-water dynamics and crop evapotranspiration," Agricultural Water Management, Elsevier, vol. 245(C).
    2. Bertrand Hirel & Thierry Tétu & Peter J. Lea & Frédéric Dubois, 2011. "Improving Nitrogen Use Efficiency in Crops for Sustainable Agriculture," Sustainability, MDPI, vol. 3(9), pages 1-34, September.
    3. Egidijus Šarauskis & Marius Kazlauskas & Vilma Naujokienė & Indrė Bručienė & Dainius Steponavičius & Kęstutis Romaneckas & Algirdas Jasinskas, 2022. "Variable Rate Seeding in Precision Agriculture: Recent Advances and Future Perspectives," Agriculture, MDPI, vol. 12(2), pages 1-24, February.
    4. Hasan Mirzakhaninafchi & Manjeet Singh & Vishal Bector & O. P. Gupta & Rajvir Singh, 2021. "Design and Development of a Variable Rate Applicator for Real-Time Application of Fertilizer," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    5. Muhammad Nurfaiz Abd. Kharim & Aimrun Wayayok & Ahmad Fikri Abdullah & Ahmad Fikri Abdullah, 2020. "Effect Of Variable Rate Application On Rice Leaves Burn And Chlorosis In System Of Rice Intensification," Malaysian Journal of Sustainable Agriculture (MJSA), Zibeline International Publishing, vol. 4(2), pages 66-70, March.
    6. Mohammad Rokhafrouz & Hooman Latifi & Ali A. Abkar & Tomasz Wojciechowski & Mirosław Czechlowski & Ali Sadeghi Naieni & Yasser Maghsoudi & Gniewko Niedbała, 2021. "Simplified and Hybrid Remote Sensing-Based Delineation of Management Zones for Nitrogen Variable Rate Application in Wheat," Agriculture, MDPI, vol. 11(11), pages 1-24, November.
    7. Nahry, A.H. El & Ali, R.R. & Baroudy, A.A. El, 2011. "An approach for precision farming under pivot irrigation system using remote sensing and GIS techniques," Agricultural Water Management, Elsevier, vol. 98(4), pages 517-531, February.
    8. Xu, Junzeng & Peng, Shizhang & Yang, Shihong & Wang, Weiguang, 2012. "Ammonia volatilization losses from a rice paddy with different irrigation and nitrogen managements," Agricultural Water Management, Elsevier, vol. 104(C), pages 184-192.
    9. Anna Vatsanidou & Spyros Fountas & Vasileios Liakos & George Nanos & Nikolaos Katsoulas & Theofanis Gemtos, 2020. "Life Cycle Assessment of Variable Rate Fertilizer Application in a Pear Orchard," Sustainability, MDPI, vol. 12(17), pages 1-25, August.
    10. Jelle Van Loon & Alicia B. Speratti & Louis Gabarra & Bram Govaerts, 2018. "Precision for Smallholder Farmers: A Small-Scale-Tailored Variable Rate Fertilizer Application Kit," Agriculture, MDPI, vol. 8(4), pages 1-14, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Le Tran Thanh Liem & Yukihiro Tashiro & Pham Van Trong Tinh & Kenji Sakai, 2022. "Reduction in Greenhouse Gas Emission from Seedless Lime Cultivation Using Organic Fertilizer in a Province in Vietnam Mekong Delta Region," Sustainability, MDPI, vol. 14(10), pages 1-14, May.
    2. Nie, Tangzhe & Huang, Jianyi & Zhang, Zhongxue & Chen, Peng & Li, Tiecheng & Dai, Changlei, 2023. "The inhibitory effect of a water-saving irrigation regime on CH4 emission in Mollisols under straw incorporation for 5 consecutive years," Agricultural Water Management, Elsevier, vol. 278(C).
    3. Shan, Linan & He, Yunfeng & Chen, Jie & Huang, Qian & Lian, Xu & Wang, Hongcai & Liu, Yili, 2015. "Nitrogen surface runoff losses from a Chinese cabbage field under different nitrogen treatments in the Taihu Lake Basin, China," Agricultural Water Management, Elsevier, vol. 159(C), pages 255-263.
    4. Michael Friedrich Tröster, 2023. "Assessing the Value of Organic Fertilizers from the Perspective of EU Farmers," Agriculture, MDPI, vol. 13(5), pages 1-11, May.
    5. Niccolò Pampuro & Christian Preti & Eugenio Cavallo, 2018. "Recycling Pig Slurry Solid Fraction Compost as a Sound Absorber," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    6. Chen, Peng & Xu, Junzeng & Zhang, Zhongxue & Nie, Tangzhe & Wang, Kechun & Guo, Hang, 2022. "Where the straw-derived nitrogen gone in paddy field subjected to different irrigation regimes and straw placement depths? Evidence from 15N labeling," Agricultural Water Management, Elsevier, vol. 273(C).
    7. Marius Kazlauskas & Indrė Bručienė & Dainius Savickas & Vilma Naujokienė & Sidona Buragienė & Dainius Steponavičius & Kęstutis Romaneckas & Egidijus Šarauskis, 2023. "Life Cycle Assessment of Winter Wheat Production Using Precision and Conventional Seeding Technologies," Sustainability, MDPI, vol. 15(19), pages 1-13, September.
    8. Dorijan Radočaj & Ivan Plaščak & Mladen Jurišić, 2023. "Global Navigation Satellite Systems as State-of-the-Art Solutions in Precision Agriculture: A Review of Studies Indexed in the Web of Science," Agriculture, MDPI, vol. 13(7), pages 1-17, July.
    9. Wang, Weiguang & Yu, Zhongbo & Zhang, Wei & Shao, Quanxi & Zhang, Yiwei & Luo, Yufeng & Jiao, Xiyun & Xu, Junzeng, 2014. "Responses of rice yield, irrigation water requirement and water use efficiency to climate change in China: Historical simulation and future projections," Agricultural Water Management, Elsevier, vol. 146(C), pages 249-261.
    10. Marlena Gołaś & Piotr Sulewski & Adam Wąs & Anna Kłoczko-Gajewska & Kinga Pogodzińska, 2020. "On the Way to Sustainable Agriculture—Eco-Efficiency of Polish Commercial Farms," Agriculture, MDPI, vol. 10(10), pages 1-24, September.
    11. Samar Swify & Dovile Avizienyte & Romas Mazeika & Zita Braziene, 2022. "Influence of Modified Urea Compounds to Improve Nitrogen Use Efficiency under Corn Growth System," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    12. Wu, Yang & Wang, Lichun & Bian, Shaofeng & Liu, Zhiming & Wang, Yongjun & Lv, Yanjie & Cao, Yujun & Yao, Fanyun & Li, Chunxia & Wei, Wenwen, 2019. "Evolution of roots to improve water and nitrogen use efficiency in maize elite inbred lines released during different decades in China," Agricultural Water Management, Elsevier, vol. 216(C), pages 44-59.
    13. Zhu, Yan & Yang, Jinzhong & Ye, Ming & Sun, Huaiwei & Shi, Liangsheng, 2017. "Development and application of a fully integrated model for unsaturated-saturated nitrogen reactive transport," Agricultural Water Management, Elsevier, vol. 180(PA), pages 35-49.
    14. Wu, Yinshan & Jiang, Jie & Zhang, Xiufeng & Zhang, Jiayi & Cao, Qiang & Tian, Yongchao & Zhu, Yan & Cao, Weixing & Liu, Xiaojun, 2023. "Combining machine learning algorithm and multi-temporal temperature indices to estimate the water status of rice," Agricultural Water Management, Elsevier, vol. 289(C).
    15. Chen, Assaf & Orlov-Levin, Valerie & Meron, Moshe, 2019. "Applying high-resolution visible-channel aerial imaging of crop canopy to precision irrigation management," Agricultural Water Management, Elsevier, vol. 216(C), pages 196-205.
    16. Piotr Mazur & Dariusz Gozdowski & Elżbieta Wójcik-Gront, 2022. "Soil Electrical Conductivity and Satellite-Derived Vegetation Indices for Evaluation of Phosphorus, Potassium and Magnesium Content, pH, and Delineation of Within-Field Management Zones," Agriculture, MDPI, vol. 12(6), pages 1-13, June.
    17. Alhaj Hamoud, Yousef & Shaghaleh, Hiba & Sheteiwy, Mohamed & Guo, Xiangping & Elshaikh, Nazar A. & Ullah Khan, Nasr & Oumarou, Abdoulaye & Rahim, Shah Fahad, 2019. "Impact of alternative wetting and soil drying and soil clay content on the morphological and physiological traits of rice roots and their relationships to yield and nutrient use-efficiency," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    18. Yan, Jun & Wu, Qixia & Qi, Dongliang & Zhu, Jianqiang, 2022. "Rice yield, water productivity, and nitrogen use efficiency responses to nitrogen management strategies under supplementary irrigation for rain-fed rice cultivation," Agricultural Water Management, Elsevier, vol. 263(C).
    19. Benhamou, Latifa & Giard, Vincent & Khouloud, Mehdi & Fenies, Pierres & Fontane, Frédéric, 2020. "Reverse Blending: An economically efficient approach to the challenge of fertilizer mass customization," International Journal of Production Economics, Elsevier, vol. 226(C).
    20. Veronica Sanda Chedea & Ana-Maria Drăgulinescu & Liliana Lucia Tomoiagă & Cristina Bălăceanu & Maria Lucia Iliescu, 2021. "Climate Change and Internet of Things Technologies—Sustainable Premises of Extending the Culture of the Amurg Cultivar in Transylvania—A Use Case for Târnave Vineyard," Sustainability, MDPI, vol. 13(15), pages 1-28, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11209-:d:909075. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.