Eco-Friendly Practices for Sustainable Corn Production
Keywords:
Corn Production; Urban Industrial Development; Production and Process; Social Distribution
Abstract
Corn is one of the most vital staple crops in India, with a rich history of cultivation and a profound economic and social impact. The expansion of corn production in the country has been fueled by increasing demand for food, animal feed, and biofuels, both domestically and globally. However, this growth has brought about significant environmental challenges, including soil erosion, water pollution, and biodiversity loss. Water scarcity and contamination are among the primary environmental concerns in corn production. To mitigate these issues, farmers can adopt precision irrigation techniques and reduce reliance on chemical fertilizers and pesticides. Additionally, the promotion of biological agriculture represents a sustainable alternative to minimize the environmental impact associated with traditional corn farming practices. The findings underscore the critical importance of sustainability in modern agribusiness, highlighting ongoing efforts to promote environmentally conscious practices in corn production. The study also points to the need for international comparative research to evaluate global approaches and insights related to sustainable corn production. This research emphasizes the relevance of sustainability in agribusiness and advocates for continued exploration of practices that balance economic growth with ecological preservation.
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11. D. K. Sharma, B. Singh, M. Anam, R. Regin, D. Athikesavan, and M. Kalyan Chakravarthi, “Applications of two separate methods to deal with a small dataset and a high risk of generalization,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021.
12. D. K. Sharma, B. Singh, M. Anam, K. O. Villalba-Condori, A. K. Gupta, and G. K. Ali, “Slotting learning rate in deep neural networks to build stronger models,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021.
13. K. Kaliyaperumal, A. Rahim, D. K. Sharma, R. Regin, S. Vashisht, and K. Phasinam, “Rainfall prediction using deep mining strategy for detection,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021.
14. I. Nallathambi, R. Ramar, D. A. Pustokhin, I. V. Pustokhina, D. K. Sharma, and S. Sengan, “Prediction of influencing atmospheric conditions for explosion Avoidance in fireworks manufacturing Industry-A network approach,” Environ. Pollut., vol. 304, no. 7, p. 119182, 2022.
15. H. Sharma and D. K. Sharma, “A Study of Trend Growth Rate of Confirmed Cases, Death Cases and Recovery Cases of Covid-19 in Union Territories of India,” Turkish Journal of Computer and Mathematics Education, vol. 13, no. 2, pp. 569–582, 2022.
16. T. Gada, "Enhancing user engagement and retention in fintech: A study on effective UX strategies and design principles," Int. J. Sci. Res., vol. 13, no. 5, 2024.
17. P. P. Anand, U. K. Kanike, P. Paramasivan, S. S. Rajest, R. Regin, and S. S. Priscila, “Embracing Industry 5.0: Pioneering Next-Generation Technology for a Flourishing Human Experience and Societal Advancement,” FMDB Transactions on Sustainable Social Sciences Letters, vol.1, no. 1, pp. 43–55, 2023.
18. G. Gnanaguru, S. S. Priscila, M. Sakthivanitha, S. Radhakrishnan, S. S. Rajest, and S. Singh, “Thorough analysis of deep learning methods for diagnosis of COVID-19 CT images,” in Advances in Medical Technologies and Clinical Practice, IGI Global, pp. 46–65, 2024.
19. G. Gowthami and S. S. Priscila, “Tuna swarm optimisation-based feature selection and deep multimodal-sequential-hierarchical progressive network for network intrusion detection approach,” Int. J. Crit. Comput.-based Syst., vol. 10, no. 4, pp. 355–374, 2023.
20. A. J. Obaid, S. Suman Rajest, S. Silvia Priscila, T. Shynu, and S. A. Ettyem, “Dense convolution neural network for lung cancer classification and staging of the diseases using NSCLC images,” in Proceedings of Data Analytics and Management, Singapore; Singapore: Springer Nature, pp. 361–372, 2023.
21. S. S. Priscila and A. Jayanthiladevi, “A study on different hybrid deep learning approaches to forecast air pollution concentration of particulate matter,” in 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2023.
22. S. S. Priscila, S. S. Rajest, R. Regin, and T. Shynu, “Classification of Satellite Photographs Utilizing the K-Nearest Neighbor Algorithm,” Central Asian Journal of Mathematical Theory and Computer Sciences, vol. 4, no. 6, pp. 53–71, 2023.
23. S. S. Priscila and S. S. Rajest, “An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network”,” Central Asian Journal of Medical and Natural Science, vol. 3, no. 6, pp. 343–360, 2022.
24. S. S. Priscila, S. S. Rajest, S. N. Tadiboina, R. Regin, and S. András, “Analysis of Machine Learning and Deep Learning Methods for Superstore Sales Prediction,” FMDB Transactions on Sustainable Computer Letters, vol. 1, no. 1, pp. 1–11, 2023.
25. R. Regin, Shynu, S. R. George, M. Bhattacharya, D. Datta, and S. S. Priscila, “Development of predictive model of diabetic using supervised machine learning classification algorithm of ensemble voting,” Int. J. Bioinform. Res. Appl., vol. 19, no. 3, 2023.
26. S. Silvia Priscila, S. Rajest, R. Regin, T. Shynu, and R. Steffi, “Classification of Satellite Photographs Utilizing the K-Nearest Neighbor Algorithm,” Central Asian Journal of Mathematical Theory and Computer Sciences, vol. 4, no. 6, pp. 53–71, 2023.
27. S. S. Rajest, S. Silvia Priscila, R. Regin, T. Shynu, and R. Steffi, “Application of Machine Learning to the Process of Crop Selection Based on Land Dataset,” International Journal on Orange Technologies, vol. 5, no. 6, pp. 91–112, 2023.
28. T. Shynu, A. J. Singh, B. Rajest, S. S. Regin, and R. Priscila, “Sustainable intelligent outbreak with self-directed learning system and feature extraction approach in technology,” International Journal of Intelligent Engineering Informatics, vol. 10, no. 6, pp.484-503, 2022.
29. S. S. Priscila, D. Celin Pappa, M. S. Banu, E. S. Soji, A. T. A. Christus, and V. S. Kumar, “Technological frontier on hybrid deep learning paradigm for global air quality intelligence,” in Cross-Industry AI Applications, IGI Global, pp. 144–162, 2024.
30. S. S. Priscila, E. S. Soji, N. Hossó, P. Paramasivan, and S. Suman Rajest, “Digital Realms and Mental Health: Examining the Influence of Online Learning Systems on Students,” FMDB Transactions on Sustainable Techno Learning, vol. 1, no. 3, pp. 156–164, 2023.
31. S. R. S. Steffi, R. Rajest, T. Shynu, and S. S. Priscila, “Analysis of an Interview Based on Emotion Detection Using Convolutional Neural Networks,” Central Asian Journal of Theoretical and Applied Science, vol. 4, no. 6, pp. 78–102, 2023.
32. S. D. Beedkar, C. N. Khobragade, S. S. Chobe, B. S. Dawane, and O. S. Yemul, "Novel thiazolo-pyrazolyl derivatives as xanthine oxidase inhibitors and free radical scavengers," International Journal of Biological Macromolecules, vol. 50, no. 4, pp. 947-956, 2012.
33. S. S. Chobe, V. A. Adole, K. P. Deshmukh, T. B. Pawar, and B. S. Jagdale, "Poly (ethylene glycol)(PEG-400): A green approach towards synthesis of novel pyrazolo [3, 4-d] pyrimidin-6-amines derivatives and their antimicrobial screening," Archives of Applied Science Research, vol. 6, no. 2, pp. 61-66, 2014.
34. S. S. Chobe, B. S. Dawane, K. M. Tumbi, P. P. Nandekar, and A. T. Sangamwar, "An ecofriendly synthesis and DNA binding interaction study of some pyrazolo [1, 5-a] pyrimidines derivatives," Bioorganic & Medicinal Chemistry Letters, vol. 22, no. 24, pp. 7566-7572, 2012.
35. S. S. Chobe, R. D. Kamble, S. D. Patil, A. P. Acharya, S. V. Hese, O. S. Yemul, and B. S. Dawane, "Green approach towards synthesis of substituted pyrazole-1, 4-dihydro, 9-oxa, 1, 2, 6, 8-tetrazacyclopentano [b] naphthalene-5-one derivatives as antimycobacterial agents," Medicinal Chemistry Research, vol. 22, pp. 5197-5203, 2013.
36. B. S. Dawane, S. G. Konda, N. T. Khandare, S. S. Chobe, B. M. Shaikh, R. G. Bodade, and V. D. Joshi, "Synthesis and antimicrobial evaluation of 2-(2-butyl-4-chloro-1H-imidazol-5-yl-methylene)-substituted-benzofuran-3-ones," Organic Communications, vol. 3, no. 2, pp. 22, 2010.
37. B. S. Dawane, S. G. Konda, B. M. Shaikh, S. S. Chobe, N. T. Khandare, V. T. Kamble, and R. B. Bhosale, "Synthesis and in vitro antimicrobial activity of some new 1-thiazolyl-2-pyrazoline derivatives," Synthesis, vol. 1, no. 009, 2010.
38. B. S. Dawane, B. M. Shaikh, N. T. Khandare, V. T. Kamble, S. S. Chobe, and S. G. Konda, "Eco-friendly polyethylene glycol-400: a rapid and efficient recyclable reaction medium for the synthesis of thiazole derivatives," Green Chemistry Letters and Reviews, vol. 3, no. 3, pp. 205-208, 2010.
39. M. Haroun, S. S. Chobe, R. R. Alavala, S. M. Mathure, R. N. Jamullamudi, C. K. Nerkar, and M. K. Anwer, "1, 5-benzothiazepine derivatives: green synthesis, in silico and in vitro evaluation as anticancer agents," Molecules, vol. 27, no. 12, pp. 3757, 2022.
40. S. A. Shaikh, S. R. Labhade, R. R. Kale, P. Y. Pachorkar, R. J. Meshram, K. S. Jain, and D. R. Boraste, "Thiadiazole-Thiazole Derivatives as Potent Anti-Tubercular Agents: Synthesis, Biological Evaluation, and In Silico Docking Studies," European Journal of Medicinal Chemistry Reports, vol. 100183, 2024.
41. S. A. Shaikh, S. R. Labhade, R. R. Kale, P. Y. Pachorkar, R. J. Meshram, K. S. Jain, and S. N. Wakchaure, "Synthesis, Biological and Molecular Docking Studies of Thiazole‐Thiadiazole derivatives as potential Anti‐Tuberculosis Agents," Chemistry & Biodiversity, vol. 21, no. 6, e202400496, 2024.
42. T. Gada, N. Chandarana, and S. Chudasama, "Effects of mobile technology use on human cognition," Int. J. Sci. Res., vol. 13, no. 5, 2024.
43. T. N. Gada, N. Chandarana, and S. Chudasama, "The psychology of design: Understanding user behavior to enhance user experience," Int. J. Emerg. Technol. Innov. Res., 2022.
44. T. Gada, N. Chandarana, and S. Chudasama, "Enhancing mobile experiences: The critical role of usability testing in design implementation," J. Emerg. Technol. Innov. Res., vol. 10, no. 5, p. 535, 2023.
45. T. Gada and S. Chudasama, "Impact of artificial intelligence on student attitudes, engagement, and learning," Int. Res. J. Mod. Eng. Technol. Sci., vol. 06, no. 05, p. 2695, 2024.
46. A. L. Karn et al., “Designing a Deep Learning-based financial decision support system for fintech to support corporate customer’s credit extension,” Malays. J. Comput. Sci., vol.36, no.s1, pp. 116–131, 2022.
47. A. L. Karn et al., “B-lstm-Nb based composite sequence Learning model for detecting fraudulent financial activities,” Malays. J. Comput. Sci., vol.32, no.s1, pp. 30–49, 2022.
48. P. P. Dwivedi and D. K. Sharma, “Application of Shannon entropy and CoCoSo methods in selection of the most appropriate engineering sustainability components,” Cleaner Materials, vol. 5, no. 9, p. 100118, 2022.
49. A. Kumar, S. Singh, K. Srivastava, A. Sharma, and D. K. Sharma, “Performance and stability enhancement of mixed dimensional bilayer inverted perovskite (BA2PbI4/MAPbI3) solar cell using drift-diffusion model,” Sustain. Chem. Pharm., vol. 29, no. 10, p. 100807, 2022.
50. A. Kumar, S. Singh, M. K. A. Mohammed, and D. K. Sharma, “Accelerated innovation in developing high-performance metal halide perovskite solar cell using machine learning,” Int. J. Mod. Phys. B, vol. 37, no. 07, p.12, 2023.
51. G. A. Ogunmola, M. E. Lourens, A. Chaudhary, V. Tripathi, F. Effendy, and D. K. Sharma, “A holistic and state of the art of understanding the linkages of smart-city healthcare technologies,” in 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2022.
52. P. Sindhuja, A. Kousalya, N. R. R. Paul, B. Pant, P. Kumar, and D. K. Sharma, “A Novel Technique for Ensembled Learning based on Convolution Neural Network,” in 2022 International Conference on Edge Computing and Applications (ICECAA), IEEE, Tamil Nadu, India, pp. 1087–1091, 2022.
53. A. R. B. M. Saleh, S. Venkatasubramanian, N. R. R. Paul, F. I. Maulana, F. Effendy, and D. K. Sharma, “Real-time monitoring system in IoT for achieving sustainability in the agricultural field,” in 2022 International Conference on Edge Computing and Applications (ICECAA), Tamil Nadu, India, 2022.
54. Srinivasa, D. Baliga, N. Devi, D. Verma, P. P. Selvam, and D. K. Sharma, “Identifying lung nodules on MRR connected feature streams for tumor segmentation,” in 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Tamil Nadu, India, 2022.
55. C. Goswami, A. Das, K. I. Ogaili, V. K. Verma, V. Singh, and D. K. Sharma, “Device to device communication in 5G network using device-centric resource allocation algorithm,” in 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Tamil Nadu, India , 2022.
56. M. Yuvarasu, A. Balaram, S. Chandramohan, and D. K. Sharma, “A Performance Analysis of an Enhanced Graded Precision Localization Algorithm for Wireless Sensor Networks,” Cybernetics and Systems, pp. 1–16, 2023, Press.
57. P. P. Dwivedi and D. K. Sharma, “Evaluation and ranking of battery electric vehicles by Shannon’s entropy and TOPSIS methods,” Math. Comput. Simul., vol. 212, no.10, pp. 457–474, 2023.
58. P. P. Dwivedi and D. K. Sharma, “Assessment of Appropriate Renewable Energy Resources for India using Entropy and WASPAS Techniques,” Renewable Energy Research and Applications, vol. 5, no. 1, pp. 51–61, 2024.
59. P. P. Dwivedi and D. K. Sharma, “Selection of combat aircraft by using Shannon entropy and VIKOR method,” Def. Sci. J., vol. 73, no. 4, pp. 411–419, 2023.
60. J. Cruz Ángeles, The guardians of access to the metaverse. (Re)thinking the Competition Law of the European Union, Cuad. transnational law , vol. 15, no. 1, p. 275-296, 2023.
61. U. K. Kanike, "Impact of Artificial Intelligence to improve the supply chain resilience in Small Medium Enterprises," in International Conference on New Frontiers on the Global Stage of Multidisciplinary Research 2023, 2023.
62. U. K. Kanike, "Impact of ICT-Based Tools on Team Effectiveness of Virtual Software Teams Working from Home Due to the COVID-19 Lockdown: An Empirical Study," International Journal of Software Innovation, vol. 10, no. 1, pp. 1–20, 2023.
63. U. K. Kanike, "An Empirical Study on the Influence of ICT-Based Tools on Team Effectiveness in Virtual Software Teams Operating Remotely During the COVID-19 Lockdown," Dissertation, Georgia State University, 2023.
64. I. Muda, M. S. Almahairah, R. Jaiswal, U. K. Kanike, M. W. Arshad, and S. Bhattacharya, "Role of AI in Decision Making and Its Socio-Psycho Impact on Jobs, Project Management and Business of Employees," Journal for ReAttach Therapy and Developmental Diversities, vol. 6, no. 5s, pp. 517–523, 2023.
65. M. M. Abbassy and A. Abo-Alnadr, “Rule-based emotion AI in Arabic Customer Review,” International Journal of Advanced Computer Science and Applications, vol. 10, no. 9, p.12, 2019.
66. M. M. Abbassy and W. M. Ead, “Intelligent Greenhouse Management System,” 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 2020.
67. M. M. Abbassy, “Opinion mining for Arabic customer feedback using machine learning,” Journal of Advanced Research in Dynamical and Control Systems, vol. 12, no. SP3, pp. 209–217, 2020.
68. M. M. Abbassy, “The human brain signal detection of Health Information System IN EDSAC: A novel cipher text attribute based encryption with EDSAC distributed storage access control,” Journal of Advanced Research in Dynamical and Control Systems, vol. 12, no. SP7, pp. 858–868, 2020.
69. M. M. and S. Mesbah, “Effective e-government and citizens adoption in Egypt,” International Journal of Computer Applications, vol. 133, no. 7, pp. 7–13, 2016.
70. M.M.Abbassy, A.A. Mohamed “Mobile Expert System to Detect Liver Disease Kind”, International Journal of Computer Applications, vol. 14, no. 5, pp. 320–324, 2016.
71. R. A. Sadek, D. M. Abd-alazeem, and M. M. Abbassy, “A new energy-efficient multi-hop routing protocol for heterogeneous wireless sensor networks,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 11, 2021.
72. S. Derindere Köseoğlu, W. M. Ead, and M. M. Abbassy, “Basics of Financial Data Analytics,” Financial Data Analytics, pp. 23–57, 2022.
73. W. Ead and M. Abbassy, “Intelligent Systems of Machine Learning Approaches for developing E-services portals,” EAI Endorsed Transactions on Energy Web, p. 167292, 2018.
74. W. M. Ead and M. M. Abbassy, “A general cyber hygiene approach for financial analytical environment,” Financial Data Analytics, pp. 369–384, 2022.
75. W. M. Ead and M. M. Abbassy, “IoT based on plant diseases detection and classification,” 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021.
76. W. M. Ead, M. M. Abbassy, and E. El-Abd, “A general framework information loss of utility-based anonymization in Data Publishing,” Turkish Journal of Computer and Mathematics Education, vol. 12, no. 5, pp. 1450–1456, 2021.
77. A. M. El-Kady, M. M. Abbassy, H. H. Ali, and M. F. Ali, “Advancing Diabetic Foot Ulcer Detection Based On Resnet And Gan Integration,” Journal of Theoretical and Applied Information Technology, vol. 102, no. 6, pp. 2258–2268, 2024.
78. M. M. Abbassy and W. M. Ead, “Fog computing-based public e-service application in service-oriented architecture,” International Journal of Cloud Computing, vol. 12, no. 2–4, pp. 163–177, 2023.
79. J. Cao, G. Bhuvaneswari, T. Arumugam, and A. B. R, "The digital edge: Examining the relationship between digital competency and language learning outcomes," Frontiers in Psychology, vol. 14, Jun. 2023.
80. J. Rehman, M. Kashif, and T. Arumugam, "From the land of Gama: Event attachment scale (EAS) development exploring fans’ attachment and their intentions to spectate at traditional gaming events," International Journal of Event and Festival Management, vol. 14, no. 3, pp. 363–379, Jun. 2023.
81. K. U. Kiran and T. Arumugam, "Role of programmatic advertising on effective digital promotion strategy: A conceptual framework," Journal of Physics: Conference Series, vol. 1716, p. 012032, Dec. 2020.
82. M. A. Sanjeev, A. Thangaraja, and P. K. S. Kumar, "Multidimensional scale of perceived social support: Validity and reliability in the Indian context," International Journal of Management Practice, vol. 14, no. 4, p. 472, 2021.
83. M. A. Sanjeev, S. Khademizadeh, T. Arumugam, and D. K. Tripathi, "Generation Z and intention to use the digital library: Does personality matter?," The Electronic Library, vol. 40, no. 1/2, pp. 18–37, Dec. 2021.
84. S. Gupta, N. Pande, T. Arumugam, and M. A. Sanjeev, "Reputational impact of COVID‐19 pandemic management on World Health Organization among Indian public health professionals," Journal of Public Affairs, Oct. 2022.
85. S. Hameed, S. Madhavan, and T. Arumugam, "Is consumer behaviour varying towards low and high involvement products even sports celebrity endorsed?," International Journal of Scientific & Technology Research, vol. 9, no. 3, Mar. 2020.
86. S. Verma, N. Garg, and T. Arumugam, "Being ethically resilient during COVID-19: A cross-sectional study of Indian supply chain companies," The International Journal of Logistics Management, Aug. 2022.
87. T. Arumugam, B. L. Lavanya, V. Karthik, K. Velusamy, U. K. Kommuri, and D. Panneerselvam, "Portraying women in advertisements: An analogy between past and present," The American Journal of Economics and Sociology, vol. 81, no. 1, pp. 207–223, Jan. 2022.
88. T. Arumugam, B. Subramaniam, B. Jayakrishnan, V. Asi, M. Reddy, and Ranganathan, "Financial reengineering perspectives of Government of India with respect to time series effect and performance of sovereign gold bond," Accessed: Aug. 06, 2024.
89. T. Arumugam, K. M. Ashifa, V. Vinayagalakshmi, U. Kiran, and S. Ramya, "Big Data in Driving Greener Social Welfare and Sustainable Environmental Management," Advances in Business Information Systems and Analytics Book Series, pp. 328–343, Dec. 2023.
90. T. Arumugam, M. A. Sanjeev, R. K. Mathai, S. R. Boselin Prabhu, R. Balamourougane, and T. Jarin, "An empirical verification of the proposed distributor marketing intelligence system model," International Journal of Business Information Systems, vol. 45, no. 4, pp. 454–473, Jan. 2024.
91. T. Arumugam, R. Arun, R. Anitha, P. L. Swerna, R. Aruna, and V. Kadiresan, "Advancing and methodizing artificial intelligence (AI) and socially responsible efforts in real estate marketing," Advances in Business Information Systems and Analytics Book Series, pp. 48–59, Dec. 2023.
92. T. Arumugam, R. Arun, S. Natarajan, K. K. Thoti, P. Shanthi, and U. K. Kommuri, "Unlocking the Power of Artificial Intelligence and Machine Learning in Transforming Marketing as We Know It," Advances in Business Information Systems and Analytics Book Series, pp. 60–74, Dec. 2023.
93. T. Arumugam, R. Mathai, K. Balasubramanian, Renuga K., M. Rafiq, and V. Kalyani, "The mediating effect of customer intimacy on electronic word of mouth (eWOM) in social networking sites on buying intention," Zenodo (CERN European Organization for Nuclear Research), Sep. 2021.
94. T. Arumugam, S. Sethu, V. Kalyani, S. S. Hameed, and P. Divakar, "Representing women entrepreneurs in Tamil movies," The American Journal of Economics and Sociology, vol. 81, no. 1, pp. 115–125, Jan. 2022.
95. T. Arumugam, S. Shahul Hameed, and M. A. Sanjeev, "Buyer behaviour modelling of rural online purchase intention using logistic regression," International Journal of Management and Enterprise Development, vol. 22, no. 2, pp. 139–139, Jan
96. T. Arumugam, "An evolution of distributors’ marketing intelligence system (DMIS) among FMCG distributors: A conceptual frame work," International Journal of Multidisciplinary Education and Research, vol. 1, no. 5, pp. 11–13, Jul. 2016.
97. U. K. Kommuri and T. Arumugam, "Greenwashing Unveiled: How It Impacts Stakeholder Perception as well as Sustainability Realities," Shanlax International Journal of Arts Science and Humanities, vol. 11, no. S3-Feb, pp. 96–101, Feb. 2024.
98. V. Kadiresan, T. Arumugam, M. Selamat, and B. Parasuraman, "Pull factors, career anchor and turnover of academicians in Malaysian higher education," Journal of International Business and Economics, vol. 16, no. 4, pp. 59–80, Oct. 2016.
99. V. Kadiresan, T. Arumugam, N. Jayabalan, A. R. H. Binti, and C. Ramendran SPR, "HR practices and employee retention. Leader-Member Exchange (LMX) as a mediator," International Journal of Engineering and Advanced Technology, vol. 8, no. 6S3, pp. 618–622, Nov. 2019.
100. O. Fabela, S. Patil, S. Chintamani, and B. H. Dennis, “Estimation of effective thermal conductivity of porous media utilizing inverse heat transfer analysis on cylindrical configuration,” in Volume 8: Heat Transfer and Thermal Engineering, 2017.
101. S. Patil, S. Chintamani, B. H. Dennis, and R. Kumar, “Real time prediction of internal temperature of heat generating bodies using neural network,” Therm. Sci. Eng. Prog., vol. 23, no. 100910, p. 100910, 2021.
Published
2025-01-20
How to Cite
B. Vaidianathan, & S. Suman Rajest. (2025). Eco-Friendly Practices for Sustainable Corn Production. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 6(1), 1-16. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/714
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Articles
