Soil fertility review using fuzzy logic Gunasekaran Prabakaran, Dhandapani Vaithiyanathan, Madhavi Ganesan, and Journal of Engineering Research Kuwait, 2021 The goal of the study is to improve and maintain the soil fertility. Fundamentally the term soil fertility covers larger proposition and often encompass environmental issues. There had been many attempts addressing the hurdles encountered in ensuring soil fertility. Analyzing the data about the fertilizers consumption by the farmers, we demonstrate the effectiveness of fuzzy based system in achieving maximum productivity together with high cognizance to soil fertility. The proposed fuzzy systems address the solution of the soil luxuriance hurdles in terms of pesticides poisoning especially farmland. The usage of pesticides poses a serious threat to the health of the environment affecting adversely the future generations. On the other hand, it is important not only to preserve soil fertility but also to plant the crops as well. The proposed work have been constructed based on the usage of fertilizers with diverse cropping pattern randomly selected during a pair of cropping cycle and found that the repetition of the cycle failing miserably as the soil fertility gravely damaged. The suggested procedure will enhance the environmental ecosystem and improving the socio-economic status of farmers. Moreover, this increase in the farm products has a positive impact to the Gross Domestic Product (GDP) of a country.
Application of fuzzy combined SVM & graph theory for agriculture productivity prediction Gunasekaran Prabakaran, Dhandapani Vaithiyanathan, Madhavi Ganesan Journal of Physics Conference Series, 2020 A fuzzy integrated support vector machine and graph theory concepts are represents the data models for predicting a production. On this account, it has been used in various platforms such as agriculture, medicine, and various engineering applications. Therefore, the development of new computational development for predicting the productivity of events in terms of farming structure is very significant in agriculture. This method used fuzzy integrated support vector machine and graph theory to perform structural tasks suggested by crop influencing factors. Finally, the results obtained illustrate the advantage of predicting the rate of productivity, in addition to the importance of system recommendations that fail to produce the expected output volume at the time of setup or fail to produce the expected output quantum.
Relationship between qualitative physics and fuzzy logic in natural subsystems Indian Journal of Pure and Applied Physics, 2020
Detection of commercial crop weeds using machine learning algorithms P Ramesh, G Prabakaran, V Nagavel, J Bino, M Shabana Parveen, ... Scientific Reports 15 (1), 38791 , 2025 2025 Citations: 4
IoT Implemented Indoor Air Quality and Health Monitoring System Using AI G Prabakaran 2024
Essential Principles of Hardware Implementation in Artificial Intelligence G Prabakaran ELIVA PRESS 1, 978-99993-2-172-3 , 2024 2024
FPGA based intelligent embedded system for predicting the productivity using fuzzy logic G Prabakaran, D Vaithiyanathan, M Ganesan Sustainable computing: Informatics and systems 35, 100749 , 2022 2022 Citations: 16
FPGA based effective agriculture productivity prediction system using fuzzy support vector machine G Prabakaran, D Vaithiyanathan, M Ganesan Mathematics and Computers in Simulation 185, 1-16 , 2021 2021 Citations: 30
Soil fertility review using fuzzy logic G Prabakaran, D Vaithiyanathan, M Ganesan J. Eng. Res 192, 202 , 2021 2021 Citations: 6
Fuzzy decision support system for the outbreak of covid-19 and improving the people livelihood G Prabakaran, D Vaithiyanathan, H Kumar Transdisciplinary Research and Education Center for Green Technologies … , 2021 2021 Citations: 13
Application of fuzzy combined SVM & graph theory for agriculture productivity prediction G Prabakaran, D Vaithiyanathan, M Ganesan Journal of Physics: Conference Series 1706 (1), 012039 , 2020 2020 Citations: 2
Relationship between qualitative physics and fuzzy logic in natural subsystems G Prabakaran, D Vaithiyanathan, M Ganesan Indian Journal of Pure and Applied Physics (IJPAP) 58 (01), 44-49 , 2020 2020 Citations: 2
Fuzzy decision support system for improving the crop productivity and efficient use of fertilizers G Prabakaran, D Vaithiyanathan, M Ganesan Computers and electronics in agriculture 150, 88-97 , 2018 2018 Citations: 115
A farmer-friendly initiative G Prabakaran, D Vaithiyanathan, M Ganesan Grassroots, A Journal of Press Institute of India, Research Institute for … , 2017 2017 Citations: 3
Transmission of Data Using Arm Based Privacy Protection QR-code G Prabakaran, R Bhakkiyalakshmi International Journal of Engineering Development and Research 2 (2), 1458 … , 2014 2014 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Fuzzy decision support system for improving the crop productivity and efficient use of fertilizers G Prabakaran, D Vaithiyanathan, M Ganesan Computers and electronics in agriculture 150, 88-97 , 2018 2018 Citations: 115
FPGA based effective agriculture productivity prediction system using fuzzy support vector machine G Prabakaran, D Vaithiyanathan, M Ganesan Mathematics and Computers in Simulation 185, 1-16 , 2021 2021 Citations: 30
FPGA based intelligent embedded system for predicting the productivity using fuzzy logic G Prabakaran, D Vaithiyanathan, M Ganesan Sustainable computing: Informatics and systems 35, 100749 , 2022 2022 Citations: 16
Fuzzy decision support system for the outbreak of covid-19 and improving the people livelihood G Prabakaran, D Vaithiyanathan, H Kumar Transdisciplinary Research and Education Center for Green Technologies … , 2021 2021 Citations: 13
Soil fertility review using fuzzy logic G Prabakaran, D Vaithiyanathan, M Ganesan J. Eng. Res 192, 202 , 2021 2021 Citations: 6
Detection of commercial crop weeds using machine learning algorithms P Ramesh, G Prabakaran, V Nagavel, J Bino, M Shabana Parveen, ... Scientific Reports 15 (1), 38791 , 2025 2025 Citations: 4
A farmer-friendly initiative G Prabakaran, D Vaithiyanathan, M Ganesan Grassroots, A Journal of Press Institute of India, Research Institute for … , 2017 2017 Citations: 3
Application of fuzzy combined SVM & graph theory for agriculture productivity prediction G Prabakaran, D Vaithiyanathan, M Ganesan Journal of Physics: Conference Series 1706 (1), 012039 , 2020 2020 Citations: 2
Relationship between qualitative physics and fuzzy logic in natural subsystems G Prabakaran, D Vaithiyanathan, M Ganesan Indian Journal of Pure and Applied Physics (IJPAP) 58 (01), 44-49 , 2020 2020 Citations: 2
Transmission of Data Using Arm Based Privacy Protection QR-code G Prabakaran, R Bhakkiyalakshmi International Journal of Engineering Development and Research 2 (2), 1458 … , 2014 2014 Citations: 2
IoT Implemented Indoor Air Quality and Health Monitoring System Using AI G Prabakaran 2024
Essential Principles of Hardware Implementation in Artificial Intelligence G Prabakaran ELIVA PRESS 1, 978-99993-2-172-3 , 2024 2024
