Optimizing Smart Agriculture by Integrating Artificial Cognition: A Review, Current Challenges and Future Trends
Keywords:
Artificial Intelligence, Artificial Cognition, Cognitive architectures, Smart agricultureAbstract
Agriculture is one of the most influential sectors for human existence given the fact that all human beings depend on food for survival. Hence there is continuous research for efficiency and effectiveness improvements in agricultural activities to yield a quality harvest with increased volumes. Rapid advancements in technologies have paved the way for smart agriculture to improve the agricultural process. Thus, many smart artifacts have been introduced to the agriculture field including autonomous robots. As a result, the agricultural aspects such as soil management, seeding, harvesting and plant disease management have been focused highly with the aim of upheaving each of these agricultural sectors. Since none of these systems are integrated with cognitive capabilities, they cannot operate in an optimal manner by taking rational decisions as humans on contemporary issues related to agriculture. Hence, these systems are less efficient and adaptive and become vulnerable in difficult conditions. Therefore, integration of cognition is vital to agricultural artifacts including robots and is a research challenge. A critical literature review has been carried out in this research to identify the existing limitations and challenges in smart agriculture and it was extensively discussed how cognition can be integrated in this regard. A hybrid cognitive architecture has been identified as a mechanism for integrating cognition into agricultural artifacts. Finally, the paper discusses several possible real-world applications with few case studies and provides insights for integrating cognition into agricultural artifacts.
References
G. Wang, "DGCC: A Case for Integration of Brain Cognition and Intelligence Computation," 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, pp. 478-479, doi: 10.1109/ICDMW.2018.00076.
W. K. Chen, Linear Networks and Systems. Belmont, CA, USA: Wadsworth, 1993, pp. 123–135.
V. Dharmaraj and C. Vijayanand, "Artificial Intelligence (AI) in Agriculture", International Journal of Current Microbiology and Applied Sciences, vol. 7, no. 12, pp. 2122-2128, 2018. Available: 10.20546/ijcmas.2018.712.241.
"cognition | Definition, Psychology, Examples, & Facts", Encyclopedia Britannica, 2022. [Online]. Available: https://www.britannica.com/topic/cognition- thought-process.
L. Wang and Y. Xia, "Artificial Intelligence Brain," 2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI), 2021, pp. 266-270, doi: 10.1109/ICCEAI52939.2021.00053.
T. A. Gamage, E. M. N. M. Ekanayake, R. M. N. M. Rajapaksha, M. T. D. Mackonal and D. D. M. Ranasinghe, “Integrating Artificial Cognitive Systems in Smart Agriculture,” 15th International Research Conference of General Sir John Kotelawala Defence University, 2022, pp. 89-94
E. Zouganeli and A. Lentzas, “Cognitive robotics - towards the development of next-generation robotics and intelligent systems,” Communications in Computer and Information Science, pp. 16–25, 2022. doi:10.1007/978- 3-031-17030-0_2.
A. Kargin, S. Panchenko, A. Vasiljevs, and T. Petrenko, “Implementation of cognitive perception functions in fuzzy situational control model,” Procedia Computer Science, vol. 149, pp. 231–238, 2019. doi:10.1016/j.procs.2019.01.128
S. Ruhela, "Thematic Correlation of Human Cognition and Artificial Intelligence," 2019 Amity International Conference on Artificial Intelligence (AICAI), 2019, pp. 367-370, doi: 10.1109/AICAI.2019.8701337
Y. Awasthi, "Press “A” for Artificial Intelligence in Agriculture: A Review", JOIV: International Journal on Informatics Visualization, vol. 4, no. 3, 2020. Available: 10.30630/joiv.4.3.387 [Accessed 18 September 2022].
J. Vasconez, G. Kantor and F. Auat Cheein, "Human– robot interaction in agriculture: A survey and current challenges", Biosystems Engineering, vol. 179, pp. 35-48, 2019. Available: 10.1016/j.biosystemseng.2018.12.005
M. A. Cullu, M. Teke, N. Mutlu, U. Türker, A. V. Bilgili and F. Bozgeyik, "Integration and Importance of Soil Mapping Results in The Precision Agriculture," 2019 8th International Conference on Agro-Geoinformatics (Agro- Geoinformatics), 2019, pp. 1-4, doi: 10.1109/Agro- Geoinformatics.2019.8820527.
A. Łukowska, P. Tomaszuk, K. Dzierżek and Ł. Magnuszewski, "Soil sampling mobile platform for Agriculture 4.0," 2019 20th International Carpathian Control Conference (ICCC), 2019, pp. 1-4, doi10.1109/CarpathianCC.2019.8765937.
R. Maheswari, H. Azath, P. Sharmila and S. Sheeba Rani Gnanamalar, "Smart Village: Solar Based Smart Agriculture with IoT Enabled for Climatic Change and Fertilization of Soil," 2019 IEEE 5th International Conference on Mechatronics System and Robots (ICMSR), 2019, pp. 102-105, doi: 10.1109/ICMSR.2019.8835454
Z. Fan, Q. Qiu and Z. Meng, "Implementation of a four- wheel drive agricultural mobile robot for crop/soil information collection on the open field," 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2017, pp. 408-412, doi: 10.1109/YAC.2017.7967443.
J. Huuskonen and T. Oksanen, "Soil sampling with drones and augmented reality in precision agriculture", Computers and Electronics in Agriculture, vol. 154, pp. 25-35, 2018. Available: 10.1016/j.compag.2018.08.039
H. Shi et al., "A Global Meta-Analysis of Soil Salinity Prediction Integrating Satellite Remote Sensing, Soil Sampling, and Machine Learning," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 4505815, doi: 10.1109/TGRS.2021.3109819.
P. M. Piper, J. S. Vogel, M. T. Fahrenkrug, S. J. McNamee, Q. N. Pham and G. C. Lewin, "Designing an autonomous soil monitoring robot," 2015 Systems and Information Engineering Design Symposium, 2015, pp. 137-141, doi: 10.1109/SIEDS.2015.7116962.
R. Rizal Isnanto, Y. Eko Windarto, J. Imago Dei Gloriawan and F. Noerdiyan Cesara, "Design of a Robot to Control Agricultural Soil Conditions using ESP-NOW Protocol," 2020 Fifth International Conference on Informatics and Computing (ICIC), 2020, pp. 1-6, doi: 10.1109/ICIC50835.2020.9288575
N. Putu Devira Ayu Martini, N. Tamami and A. Husein Alasiry, "Design and Development of Automatic Plant Robots with Scheduling System," 2020 International Electronics Symposium (IES), 2020, pp. 302-307, doi: 10.1109/IES50839.2020.9231850
D. Bourgeois, A. G. Bourgeois and A. Ashok, "Demo: RoSS: A Low-Cost Portable Mobile Robot for Soil Health Sensing," 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2022, pp. 436-437, doi: 10.1109/COMSNETS53615.2022.9668355.
R. Viscarra Rossel and J. Bouma, "Soil sensing: A new paradigm for agriculture", Agricultural Systems, vol. 148pp. 71-74, 2016. Available: 10.1016/j.agsy.2016.07.001.
K. Heil and U. Schmidhalter, "The Application of EM38: Determination of Soil Parameters, Selection of Soil Sampling Points and Use in Agriculture and Archaeology", Sensors, vol. 17, no. 11, p. 2540, 2017. Available: 10.3390/s17112540.
M. Arivalagan, M. Lavanya, A. Manonmani, S. Sivasubramanian and P. H. Princye, "Agricultural Robot for Automized Fertilizing and Vigilance for Crops," 2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE), 2020, pp. 1-3, doi: 10.1109/ICADEE51157.2020.9368908.
G. Kitić, D. Krklješ, M. Panić, C. Petes, S. Birgermajer and V. Crnojević, "Agrobot Lala—An Autonomous Robotic System for Real-Time, In-Field Soil Sampling, and Analysis of Nitrates", Sensors, vol. 22, no. 11, p. 4207, 2022. Available: 10.3390/s22114207.
B. Arthaya, C. F. Naa and R. St, "Preliminary Design of Seed Spreading Robot as An Educational Mechatronic Project," 2019 International Conference on Mechatronics, Robotics and Systems Engineering (MoRSE), 2019, pp. 64-68, doi: 10.1109/MoRSE48060.2019.8998737
N. S. Naik, V. V. Shete and S. R. Danve, "Precision agriculture robot for seeding function," 2016 International Conference on Inventive Computation Technologies (ICICT), 2016, pp. 1-3, doi: 10.1109/INVENTIVE.2016.7824880
M. U. Hassan, M. Ullah and J. Iqbal, "Towards autonomy in agriculture: Design and prototyping of a robotic vehicle with seed selector," 2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI), 2016, pp. 37-44, doi: 10.1109/ICRAI.2016.7791225.
P. V. S. Jayakrishna, M. S. Reddy, N. J. Sai, N. Susheel and K. P. Peeyush, "Autonomous Seed Sowing Agricultural Robot," 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018, pp. 2332-2336, doi: 10.1109/ICACCI.2018.8554622.
T. Blender, T. Buchner, B. Fernandez, B. Pichlmaier and C. Schlegel, "Managing a Mobile Agricultural Robot Swarm for a seeding task," IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016, pp. 6879-6886, doi: 10.1109/IECON.2016.7793638.
P. V. Santhi, N. Kapileswar, V. K. R. Chenchela and C. H. V. S. Prasad, "Sensor and vision based autonomous AGRIBOT for sowing seeds," 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017, pp. 242-245, doi:10.1109/ICECDS.2017.8389873.
P. Tripicchio, M. Satler, G. Dabisias, E. Ruffaldi and C. A. Avizzano, "Towards Smart Farming and Sustainable Agriculture with Drones," 2015 International Conference on Intelligent Environments, 2015, pp. 140-143, doi: 10.1109/IE.2015.29.
L. Vacho, D. HrubÝ, L. TÓth and Z. PalkovÁ, "Identification of Agricultural Plant Row Using the Clustering Algorithm in the Navigation of Mobile Robot," 2020 7th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE), 2020, pp. 1-4, doi: 10.1109/EEAE49144.2020.9278786.
K. -. H. Hsia, Z. -Y. Huang, B. -J. Yang and J. -M. Hsiao, "RoboRIO-based Crop Harvesting Robot," 2020 International Symposium on Computer, Consumer and Control (IS3C), 2020, pp. 451-453, doi: 10.1109/IS3C50286.2020.00122.
X. -k. Xu, X. -m. Li and R. -h. Zhang, "Remote Configurable Image Acquisition Lifting Robot for Smart Agriculture," 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2019, pp. 1545-1548, doi: 10.1109/IAEAC47372.2019.8997721
C. Lehnert, A. English, C. McCool, A. W. Tow and T. Perez, "Autonomous Sweet Pepper Harvesting for Protected Cropping Systems," in IEEE Robotics and Automation Letters, vol. 2, no. 2, pp. 872-879, April 2017, doi: 10.1109/LRA.2017.2655622.
X. Chen et al., "Reasoning-based vision recognition for agricultural humanoid robot toward tomato harvesting," 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015, pp. 6487-6494, doi: 10.1109/IROS.2015.7354304.
Q. Feng, X. Wang, G. Wang and Z. Li, "Design and test of tomatoes harvesting robot," 2015 IEEE International Conference on Information and Automation, 2015, pp. 949-952, doi: 10.1109/ICInfA.2015.7279423.
H. Yaguchi, K. Nagahama, T. Hasegawa and M. Inaba, "Development of an autonomous tomato harvesting robot with rotational plucking gripper," 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, pp. 652-657, doi: 10.1109/IROS.2016.7759122
H. Kang, H. Zhou, X. Wang and C. Chen, "Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting", Sensors, vol. 20, no. 19, p. 5670, 2020. Available: 10.3390/s20195670.
T. Zhang, Z. Huang, W. You, J. Lin, X. Tang, and H.Huang, “An Autonomous Fruit and Vegetable Harvester with a Low-Cost Gripper Using a 3D Sensor,” Sensors, vol. 20, no. 1, p. 93, Dec. 2019, doi: 10.3390/s20010093.
H. Kurita, M. Iida, W. Cho and M. Suguri, "Rice Autonomous Harvesting: Operation Framework", Journal of Field Robotics, vol. 34, no. 6, pp. 1084-1099, 2017. Available: 10.1002/rob.21705.
Y. Xiong, Y. Ge, L. Grimstad and P. From, "An autonomous strawberry‐harvesting robot: Design, development, integration, and field evaluation", Journal of Field Robotics, vol. 37, no. 2, pp. 202-224, 2019. Available: 10.1002/rob.21889
A. De Preter, J. Anthonis and J. De Baerdemaeker, "Development of a Robot for Harvesting Strawberries", IFAC-PapersOnLine, vol. 51, no. 17, pp. 14-19, 2018. Available: 10.1016/j.ifacol.2018.08.054.
H. Masuzawa, J. Miura and S. Oishi, "Development of a mobile robot for harvest support in greenhouse horticulture — Person following and mapping," 2017 IEEE/SICE International Symposium on System Integration (SII), 2017, pp. 541-546, doi: 10.1109/SII.2017.8279277.
"Crop Diseases: Types, Control, And Prevention", 2022. [Online]. Available: https://eos.com/blog/crop-diseases/. [Accessed: 18- Sep- 2022]
A. Mahlein, "Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping", Plant Disease, vol. 100, no. 2, pp. 241-251, 2016. Available: 10.1094/pdis- 03-15-0340-fe [Accessed 18 September 2022].
Y. Ampatzidis, L. De Bellis, and A. Luvisi, “iPathology: Robotic Applications and Management of Plants and Plant Diseases,” Sustainability, vol. 9, no. 6, p. 1010, Jun. 2017, doi: 10.3390/su9061010
H. Rizk and M. K. Habib, "Robotized Early Plant Health Monitoring System," IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 2018, pp. 3795-3800, doi: 10.1109/IECON.2018.8592833.
K. Murugan, B. J. Shankar, A. Sumanth, C. V. Sudharshan and G. V. Reddy, "Smart Automated Pesticide Spraying Bot," 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 2020, pp. 864-868, doi: 10.1109/ICISS49785.2020.9316063
N. R. Dhumale and P. C. Bhaskar, "Smart Agricultural Robot for Spraying Pesticide with Image Processingbased Disease Classification Technique," 2021 International Conference on Emerging Smart Computing and Informatics (ESCI), 2021, pp. 604-609, doi: 10.1109/ESCI50559.2021.9396959
T. Dharanika, S. Ruban Karthik, S. Sabhariesh Vel, S. Vyaas and S. Yogeshwaran, "Automatic Leaf Disease Identification and Fertilizer Agrobot," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 1341- 1344, doi: 10.1109/ICACCS51430.2021.9441993
A. Nooraiyeen, "Robotic Vehicle for Automated Detection of Leaf Diseases," 2020 IEEE International Conference on Electronics, Computing and nCommunication Technologies (CONECCT), 2020, pp. 1-6, doi: 10.1109/CONECCT50063.2020.9198326.
M. S. P. Rahul and M. Rajesh, "Image processing based Automatic Plant Disease Detection and Stem Cutting Robot," 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), 2020, pp. 889-894, doi: 10.1109/ICSSIT48917.2020.9214257
K. Ferentinos, "Deep learning models for plant disease detection and diagnosis", Computers and Electronics in Agriculture, vol. 145, pp. 311-318, 2018. Available: 10.1016/j.compag.2018.01.009
T. S. Poornappriya and R. Gopinath, "Rice Plant Disease Identification Using Artificial Intelligence Approaches", International Journal of Electrical Engineering and Technology (IJEET), vol. 11, no. 10, pp. 392-402, 2022.
H. Durmuş, E. O. Güneş and M. Kırcı, "Disease detection on the leaves of the tomato plants by using deep learning," 2017 6th International Conference on Agro- Geoinformatics, 2017, pp. 1-5, doi: 10.1109/Agro- Geoinformatics.2017.8047016.
M. R. M. Kassim, "IoT Applications in Smart Agriculture: Issues and Challenges," 2020 IEEE Conference on Open Systems (ICOS), 2020, pp. 19-24, doi: 10.1109/ICOS50156.2020.9293672.
M. Ayaz, M. Ammad-Uddin, Z. Sharif, A. Mansour and E. -H. M. Aggoune, "Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk," in IEEE Access, vol. 7, pp. 129551-129583, 2019, doi: 10.1109/ACCESS.2019.2932609.
