Version 1
: Received: 13 December 2023 / Approved: 13 December 2023 / Online: 13 December 2023 (11:32:02 CET)
How to cite:
Monjane, M.Q.C.; Ajayi, A.D.; Aoyagi, K.; Boiarskii, B.; Hasegawa, H. Evaluation of Green Soybean (Aodaizu) Parameters Under Mechanized Deep Placement Fertilizer Application: Insights from Remote and Ground Surveys. Preprints2023, 2023120997. https://doi.org/10.20944/preprints202312.0997.v1
Monjane, M.Q.C.; Ajayi, A.D.; Aoyagi, K.; Boiarskii, B.; Hasegawa, H. Evaluation of Green Soybean (Aodaizu) Parameters Under Mechanized Deep Placement Fertilizer Application: Insights from Remote and Ground Surveys. Preprints 2023, 2023120997. https://doi.org/10.20944/preprints202312.0997.v1
Monjane, M.Q.C.; Ajayi, A.D.; Aoyagi, K.; Boiarskii, B.; Hasegawa, H. Evaluation of Green Soybean (Aodaizu) Parameters Under Mechanized Deep Placement Fertilizer Application: Insights from Remote and Ground Surveys. Preprints2023, 2023120997. https://doi.org/10.20944/preprints202312.0997.v1
APA Style
Monjane, M.Q.C., Ajayi, A.D., Aoyagi, K., Boiarskii, B., & Hasegawa, H. (2023). Evaluation of Green Soybean (Aodaizu) Parameters Under Mechanized Deep Placement Fertilizer Application: Insights from Remote and Ground Surveys. Preprints. https://doi.org/10.20944/preprints202312.0997.v1
Chicago/Turabian Style
Monjane, M.Q.C., Boris Boiarskii and Hideo Hasegawa. 2023 "Evaluation of Green Soybean (Aodaizu) Parameters Under Mechanized Deep Placement Fertilizer Application: Insights from Remote and Ground Surveys" Preprints. https://doi.org/10.20944/preprints202312.0997.v1
Abstract
Sustainable agriculture is at the forefront of modern farming practices, with a growing emphasis on optimizing crop production while minimizing environmental impact. The choice of fertilizer application technology plays a critical role in achieving these objectives. Soybean (Glycine max (L.) Merr.), a valuable crop globally, serves both as a source of human nutrition and livestock feed. To address the challenges of enhancing soybean production while minimizing ecological harm, this study evaluates and compares the performance of different fertilizer application technologies. In this study we combined remote and ground surveys to allow a comprehensive understanding of the impact of these technologies on soybean cultivation. The study focuses on deep placement of slow-release nitrogen fertilizers with coated urea at a 20 cm depth, conventional nitrogen fertilizer application, and manure organic fertilizer application. Remote surveys are conducted using advanced smart farming tools such as Unmanned Aerial Vehicle (UAV), ground surveys such as soil plant analysis development SPAD measurements, and soybean parameters to assess the impact of fertilizer application. This study revealed that deep placement fertilizer demonstrated better performance compared to other fertilizer application technologies for soybean cultivation. The findings from this study contribute to the advancement of sustainable agricultural practices and empower farmers with knowledge to make informed decisions for optimizing green soybean production.
Keywords
Agriculture; Deep placement fertilizer; NDVI; SPAD; Soybean
Subject
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
