References
- K. Messaoudi, O.S. Oubbati, A. Rachedi, A. Lakas, T. Bendouma, N. Chaib, “A Survey Of UAV-Based Data Collection: Challenges, Solutions and Future Perspectives”, Journal of Network and Computer Applications, vol. 216, pp. 1-44, 2023. DOI: 10.1016/j.jnca.2023.103670.
- C. Prakash, L. P. Singh, A. Gupta, S. K. Lohan, “Advancements In Smart Farming: A Comprehensive Review of loT, Wireless Communication, Sensors, And Hardware For Agricultural Automation”, Sensors and Actuators A: Physical, vol. 362, pp.1-25, 2023. DOI:10.1016/j.sna.20 23.114605.
- T. A. Shaikh, T. Rasool, F. R. Lone, “Towards Leveraging the Role of Machine Learning And Artificial Intelligence in Precision Agriculture and Smart Farming”, Computers and Electronics in Agriculture, vol. 198, pp. 1-29, 2022. DOI: 10.1 016/j.compag.2022.107119.
- Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal, “Technological Revolutions in Smart Farming: Current Trends, Challenges & Future Directions, Computers and Electronics In Agriculture”, vol. 201, pp. 1-34, 2022. DOI: 10.1016/j.compag.2022.107217.
- S. H. Muhie, “Novel Approaches and Practices To Sustainable Agriculture”, Journal of Agriculture and Food Research, vol. 10, pp.1-11, 2022. DOI: 10.1016/j.jafr.2022.100446.
- S. D. Alwis, Z. Hou, Y. Zhang, M. H. Na, B. Ofoghi, A. Sajjanhar, “A Survey on Smart Farming Data, Applications and Techniques”, Computers in Industry, vol. 138, pp. 1-14, 2022. DOI: 10.101 6/j.compind.2022.103624.
- P. Demircioglu, I. Bogrekci, M.N. Durakbasa, J. Bauer, “Autonomation, Automation, AI, and Industry-Agriculture 5.0 in Sustainable AgroEcological Food Production”, In: Durakbasa, N.M., Gençyilmaz, M.G. (eds.) Towards Industry 5.0. ISPR 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. DOI: 10.1007/978-3-031-24457-5_11.
- S. Ghatrehsamani, G. Jha, W. Dutta, F. Molaei, F. Nazrul, M. Fortin, S. Bansal, U. Debangshi, J. Neupane. “Artificial Intelligence Tools and Techniques to Combat Herbicide ResistantWeeds—A Review”. Sustainability, vol. 15, no. 3:1843, pp. 1-18, 2023. DOI: 10.3390/su15031843.
- L. Ahmad and F. Nabi. Agriculture 5.0: Artificial Intelligence, IoT and Machine Learning. CRC Press: Boca Raton, FL, USA, ISBN 9780367646 080, 2021. DOI: 10.1201/9781003125433.
- K. Ragazou, A. Garefalakis, E. Zafeiriou and I. Passas. “Agriculture 5.0: A new strategic management mode for a cut cost and an energy efficient agriculture sector”, Energies, vol. 15, no. 9: 3113, pp. 1-17, 2022. DOI: 10.3390/en15093113.
- V. Balaska, L. Bampis, I. Kansizoglou and A. Gasteratos. “Enhancing Satellite Semantic Maps with Ground-Level Imagery”, Robotics and Autonomous Systems, vol. 139, 103760, pp. 1-15, 2021. DOI: 10.1016/j.robot.2021.103760.
- V. Balaska, L. Bampis, and A. Gasteratos. “GraphBased Semantic Segmentation”. In Proceedings of the International Conference on Robotics in Alpe-Adria Danube Region, Patras, Greece, pp. 572579, 2018.
- V. Balaska, L. Bampis, S. Katsavounis and A. Gasteratos. “Generating Graph-Inspired Descriptors by Merging Ground-Level and Satellite Data for Robot Localization”, Cybernetics and Systems, vol. 54, no. 5, pp. 697-715, 2022. DOI: 10.1080/01969722.2022.2073701.
- V. Balaska, L. Bampis and A. Gasteratos. “SelfLocalization Based on Terrestrial And Satellite Semantics”, Engineering Applications of Artificial Intelligence, vol. 111, 104824, pp. 1-15, 2022. DOI: 10.1016/j.engappai.2022.104824.
- R. K. Paul, T. Das and M. Yeasin. “Ensemble Of Time Series and Machine Learning Model for Forecasting Volatility in Agricultural Prices”, National Academy Science Letters, vol. 46, pp. 185-188, 2023.
- C. Kiruthiga and K. Dharmarajan. “Machine Learning in Soil Borne Diseases, Soil Data Analysis & Crop Yielding: A Review”. In Proceedings of the 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bengaluru, India, pp. 702-706, 2023.
- K. Bandaia and M. Gunasekaran. “An Efficient Model for Predicting Future Price of Agricultural Commodities using K-Nearest Neighbors Algorithm Compared with Support Vector Machine Algorithm”. In Proceedings of the 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, pp. 858-861, 2022.
- N. Jain, A. Kumar, S. Garud, V. Pradhan and P. Kulkarni. “Crop Selection Method Based on Various Environmental Factors Using Machine Learning”, International Research Journal of Engineering and Technology (IRJET), vol. 4, no. 2, pp. 1530-1533, 2017.
- Z. Du, J. Yang, C. Ou and T. Zhang. “Smallholder Crop Area Mapped with a Semantic Segmentation Deep Learning Method”, Remote Sensing, vol. 11, no. 7, 888, pp. 1-21, 2019. DOI: 10.3390/rs11 070888.
- B. D. Grieve, T. Duckett, M. Collison, L. Boyd, J. West, H. Yin, F. Arvin and S. Pearson. “The Challenges Posed by Global Broadacre Crops In Delivering Smart Agri-Robotic Solutions: A Fundamental Rethink Is Required” Global Food Security, vol. 23, pp. 116-124, 2019. DOI: 10.1016/j.gfs.2019.04.011.
- Z. An, C. Wang, B. Raj, S. Eswaran, R. Raffik, S. Debnath and S. A. Rahin. “Application Of New Technology of Intelligent Robot Plant Protection In Ecological Agriculture”, Journal of Food Quality, vol. 2022, 1257015, pp. 1-7, 2022. DOI: 10.1 155/2022/1257015.
- A. Krishnan, S. Swarnaand and H. S. Balasubramanya. “Robotics, IoT, and AI In the Automation of Agricultural Industry: A Review”. In Proceedings of the 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC), Vijiyapur, India, pp. 1-6, 2020.
- G. A. Mesías-Ruiz, M. Pérez-Ortiz, J. Dorado, A. I. de Castro and J. M. Peña. “Boosting Precision Crop Protection Towards Agriculture 5.0 Via Machine Learning and Emerging Technologies: A Contextual Review”, Frontiers in Plant Science, vol. 14, 1143326, pp. 1-22, 2023. DOI: 10.3389/fpls.2023.1143326.
- Usability of Environmentally sound and Reliable Techniques in Precision Agriculture (User-PA)-(Vineyard Robot Design and Development), TUBITAK Project, 2016. (FP7-ERA-NET International) (No:112O465).
- S. Vardin, P. Demircioglu and I. Bogrekci. “Development and Implementation of an Unmanned Ground Vehicle for Off-Road Applications”, Acta Technica Napocensis, Applied Mathematics, Mechanics, and Engineering, vol. 65, no. 1, pp. 269-276, 2022.
