SMART AGRICULTURE ROBOT WITH SENSOR MONITORING SEED SOWING AND CROP PREDICTION USING MACHINE LEARNING
EOI: 10.11242/viva-tech.01.05.001
Citation
Deep Late, Aniket Sonar, Nath Kamble, Prof.Anojkumar Yadav, "SMART AGRICULTURE ROBOT WITH SENSOR MONITORING SEED SOWING AND CROP PREDICTION USING MACHINE LEARNING", VIVA-IJRI Volume 1, Issue 7, Article 1, pp. 1-4, 2024. Published by Electrical Engineering Department, VIVA Institute of Technology, Virar, India.
Abstract
“SMART AGRICULTURE ROBOT WITH SENSOR MONITORING SEED SOWING AND CROP PREDICTION USING MACHINE LEARNING." This research presents a Smart Agriculture Robot equipped with sensors for real-time monitoring, seed sowing automation, and crop prediction through machine learning. The integration of sensor data enhances precision in agricultural activities, while machine learning algorithms analyze historical and current data to predict crop outcomes. The system aims to optimize resource utilization and enhance overall agricultural efficiency for sustainable and informed decision-making. The smart agriculture robot described employs sensors for monitoring, seed sowing, and crop prediction through machine learning. This innovative system combines real-time data from various sensors to optimize agricultural processes, ensuring efficient seed placement. Additionally, machine learning algorithms analyze historical and current data to predict crop outcomes, enabling proactive decision-making for improved yield and resource utilization.
Keywords
Smart Agriculture Robot, Sensor Monitoring, Real-time Monitoring, Seed Sowing Automation, Crop Prediction, Machine Learning, Precision Agriculture, Resource Utilization Optimization, Sustainable Agriculture, Informed Decision-making.
References
- D. Chaudhary, S. Nayse, L. Waghmare, “Application of Wireless Sensor Networks for Greenhouse parameter control in precision agriculture”.
- Kiruthika M, Shweta T, Mritunjay O, Kavita S, “Parameter Monitoring for the Precision Agriculture”, International Journal of the Research and Scientific Innovation 2015.
- J. Shenoy, Y. Pingle, “ IOT in Agriculture”, International Conference on Computing for Sustainable Global Development (INDIA Com) 2016.
- O.P. Uma Maheshwari, M.Savitha, “A study on Internet of Things (IoT) in Agriculture”, International Journal of Innovative Research in Computer and Communication Engineering 2017.
- Dr. N. Suma, S. R. Samson, S. Saranya, G. Shanmugapriya, R. Subhashri “ IOT Based Smart Agriculture Monitoring System”, International Journal on Recent and Innovation Trends in computing and communication 2018.
- J. Kim, J. Yun, S. Choi, D. N. Seed, Guang Lu, M. Bauer, A. Al-Hezmi, K Campowsky, J. Song, “Standard – Based IoT platforms interworking:Implementation, Experiences, and lessons learned”, IEEE Communications Magazine – communications standards supplement July 2016.
- Sandip Khot, M. Gaikwad, “Development of cloud based Light Intensity Monitoring system for Green house Using Raspberry Pi” , IEEE International conference on computing communication control and automation (ICCUBEA) Aug 2016.
- Sheetal V, A Bakshi, Tanvi T, “Green House by using IoT and Cloud computing”, IEEE International conference on Recent trends in Electronics, information & communication technology May 2016.
- C. Brewster, I. Roussaki, N. Kalatzis, K. Doolin, K. Ellis, “IoT in Agriculture: Designing a Europe-Wide Large scale Pilot”, IEEE Communications Magazine September 2017.
- Prem P. Jayaraman, D. Palmer, A. Zaslavsky, D. Georgakopoulos, “ Do it Yourself Agriculture Application with Semantically Enhanced IoT Platform”, 2015 IEEE 10th International conference on intelligent Sensors, Sensor Networks and information Processing 7-9 April 2015.