Assistant Professor (Agronomy) & Head
School of Agriculture
Tamil Nadu Agricultural University, Coimbatore
7 Years 2 Months
Aerobic Rice, Pulses Cropping Systems, Nutrient and Irrigation Management, Drone Technology in Agriculture, Yield Estimation (Crop-Weather Models), Digital Agriculture & Smart Farming
Irrigation Scheduling and Nutrient Management for Aerobic Rice
Doctor of Philosophy (Ph.D). in Agronomy from Tamil Nadu Agricultural University, Coimbatore
Master of Science (M.Sc). in Agriculture with specilization of Agronomy from Tamil Nadu Agricultural University, Coimbatore
B.Sc. (Agriculture) from Tamil Nadu Agricultural University, Coimbatore
Assistant Professor (Agronomy) at SR University, Warangal, Telangana, from 2020-12-10 to .
Assistant Professor (Agronomy) at Mother Terasa College of Agriculture (Affiliated by TNAU), Pudukkottai, from 2019-03-02 to 2019-11-15.
Junior Research Fellow (JRF), Department of Crop Physiology at Tamil Nadu Agricultural University, Coimbatore, from 2014-10-10 to 2015-05-31.
Junior Research Fellow (JRF), Department of Crop Physiology at Tamil Nadu Agricultural University, Coimbatore, from 2012-04-19 to 2012-08-12.
Junior Research Fellow (JRF), Department of Agronomy at Tamil Nadu Agricultural University, Coimbatore, from 2011-10-14 to 2012-02-20.
Ph.D
PG
UG
Madasamy R.G., S. Rajesh, S. Kumar, J.S. Priya, M.M. Keerthi and B.S. Kumar. 2024. Poultry Diseases Diagnostics using Deep Learning Techniques. International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), Chennai, India, 2024, pp. 1-4. DOI: 10.1109/ICPECTS62210.2024.10780092 (Scopus Indexed)
Vanitha, R., Debnath, A., Keerthi, M.M., Uchoi, J., Subha, L., Al-Ansari, M.M., Srinivasan, P., & Kavitha, C. 2024. Development of luminescent and photosensitive cellulose microfibers from palm sprout fibers: Antibacterial efficacy and dye adsorption potential. Luminescence, 39(11). DOI: https://doi.org/10.1002/bio.70016 (Scopus IF-3.2)
Chandaka, D., Kathula, K.V.P., Sivani, S.S., Keerthi, M.M., Ramesh, S., Khanpara, A.V., Rout, S., & Raghul, S. 2024. Renewable energy and climate change: Evaluating the environmental impact and potential for carbon neutrality. Library Progress International, 44(3), 18833-18841. (Cosmos IF 5.968)
Wange, N.J., Keerthi, M.M., Gottumukkala, P., Deshmukh, Y.S., Nishant, N., Bethel, G. N. B., & Philip, J.M. 2024. Optimising agricultural data reliability using edge computation and machine learning techniques. Journal of Environmental Protection and Ecology. 25(6), 2097-2108. (Scopus IF 0.59)
Keerthi, M.M., M.Z.M. Nomani, S. Dimri, T. Chaudhary, A. Samdani and J.A.J. Singh, "Using Machine Learning Towards Evaluation of Environmental Impacts and Mitigation in Sustainable Supply Chain Management," 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE), Gautam Buddha Nagar, India, 2024, pp. 1452-1456. IEEE. DOI: 10.1109/IC3SE62002.2024.10593651 (Scopus IF 3.4)
Keerthi, M.M., S. Pranavan, S. Satheesh Kumar, C. Veena, Manjunatha and A. Singla, "Integrating IoT and Machine Learning for Smart Irrigation Systems in Agriculture," 2024 International Conference on Science Technology Engineering and Management (ICSTEM), Coimbatore, India, 2024, pp. 1-5. IEEE. DOI: 10.1109/ICSTEM61137.2024.10561002 (Scopus IF 3.4)
Bansal, K., Arumugam, M., Reddy, G. S., & Keerthi, M.M. 2023 Precision Agriculture and Financial Management: A Profitable Synergy. Journal of Advanced Zoology. 44(S-2), 3226-3235.
A. Arunarani, S. Selvanayaki, M. Saleh Al Ansari, M. A. Ala Walid, N. Devireddy and M. M. Keerthi. 2023. "Crop Yield Prediction Using Spatio Temporal CNN and Multimodal Remote Sensing," 2nd International Conference on Edge Computing and Applications (ICECAA), Namakkal, India. 1042-1048. doi: 10.1109/ICECAA58104.2023.10212267.
Keerthi, M.M., R. Babu, M. Joseph and R. Amutha. 2015. Optimizing plant geometry and nutrient management for grain yield and economics in irrigated greengram. American journal of plant sciences, 6, 1144-1150.
Vijayalakshmi, D., S. Srividhya, P. Vivitha and M.M. Keerthi. 2017. Enhanced oxidative stress tolerance in rice plants is associated with membrane stability, pigment composition and scavenging of reactive oxygen species. Oryza, 54(4), 407-413.
Keerthi, M.M and R. Babu. 2017. Response of different plant spacing and nutrients on physiological parameters of greengram under irrigated condition. International Journal of Agricultural Science and Research, 7, 543-546.
Keerthi, M.M., R. Babu, N.S. Venkataraman, and P.P. Mahendran. 2018. Influence of Irrigation Scheduling with Levels and Times of Nitrogen Application on Root Growth of Aerobic Rice. American Journal of Plant Sciences, 9, 2297-2305.
Keerthi, M.M., R. Babu, N.S. Venkataraman, E. Subramanian, and K. Kumutha. 2018. Effect of Varied Irrigation Scheduling with Levels and Times of Nitrogen Application on Yield and Water Use Efficiency of Aerobic Rice. American Journal of Plant Sciences, 9, 2287-2296.
Keerthi, M.M., R. Babu and R, Karthika. 2019. Integrated wastewater management and use in agriculture. In: National Conference on Eco-Waste Management, PG-Department of Zoology, Govt. Arts College, Melur, 25th January 2019, p. 27.
Karthika, R., E. Subramanian and M.M. Keerthi. 2019. Aerobic rice cultivation system in relation to weed emergence and their management under changing climatic condition – A Review. In: 28th National conference on Farmers’ friendly soil and water conservation technologies for mitigating climate change impact, ICAR - IISWC, Regional Centre, Udhagamandalam, 31th January to 2nd February 2019. pp: 1991-192.
Keerthi, M.M. and R. Babu. 2019. Rooting Behavior of Aerobic Rice under Different Irrigation Scheduling and Levels of Nitrogen Application. Research Journal of Agricultural Sciences, 10(1), 155-160.
Keerthi, M.M., Sharmili, K.S., Arun, A., and Govindhasamy, R. 2023. Emerging Weed Problems under Changing Climatic Condition: A Review. International Journal of Environment and Climate Change, 13(7), 559-574.
Keerthi, M.M., Sharmili, K.S., and Babu, R. 2023. Scheduling of Irrigation Based on IW/CPE for Aerobic Rice – A Review. Ecology, Environment and Conservation, 29 (May Suppl. Issue), S458-S471.
Keerthi, M.M., Pooja, S., Rajasekar, G., Arun, A., and Babu, R. 2023. Precision nitrogen management in aerobic system for maximising paddy (Oryza sativa L.) yields: A review. Crop research, 58 (3 & 4): 107-115. (Scopus Indexed)
The Automated Weed Detection and Removal Equipment Using AI-Guided Precision Spraying is an advanced agricultural technology designed to enhance sustainable crop management. This innovative system integrates artificial intelligence (AI), computer vision, and robotics to accurately detect and identify weeds in real time. The AI algorithms analyze plant morphology, distinguishing weeds from crops with high precision
Best Paper Award from International Journal of Agricultural Science and Research, TRANS STELLAR Publishers in the year of 2017
Best Master’s Thesis Award from GKV Society, Agra, UP in the year of 2015
Best Oral Presentation Award Professor Jayashankar Telangana State Agricultural University, Hyderabad in the year of 2015
Best Short Film Award in the category of Direction, FeTNA’s Award from Federation of Tamil Sangams of North America (FeTNA), America in the year of 2014
Best Short Film Award in the category of Direction, Certificate of merit (Official selection) in Don Bosco Institute of Communication Arts, Chennai in the year of 2014
Young Teacher Award from 5th National Conference on Doubling Farmers Income for Sustainable, Green Agri Professional Society, Jharkhand
ICAR-Outstanding Participant Award from Winter School Training on "Technological Advances Leading to Smart Farming and Agripreneurship", organized by ICAR-Sugarcane Breeding Institute, Coimbatore, Tamil Nadu.
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