AgroBuddy Traditional Remedies for Diseased Crops

Abstract

Agro Buddy is a mobile application that aims to support farmers in managing crop diseases and pests. It offers a comprehensive knowledge base that includes traditional remedies and sustainable pest control methods, providing farmers with innovative solutions to reduce their reliance on chemical pesticides. By incorporating traditional remedies and sustainable pest control methods, the app helps farmers adopt eco-friendlier and cost-effective practices. Additionally, the app is designed with a user-centered approach, incorporating feedback from farmers and ensuring that the interface is easy to use and understand. Agro Buddy is particularly beneficial for smallholder farmers, who often lack access to precision agriculture technologies and AI-powered crop management systems. By providing a cost-effective and accessible solution, the app helps bridge the gap between smallholder farmers and innovative farming practices. Moreover, Agro Buddy has the potential to increase the adoption of sustainable crop management practices, reducing the environmental impact of agriculture and contributing to a more sustainable future. Overall, Agro Buddy represents an innovative and sustainable solution to crop management. By incorporating traditional remedies, sustainable pest control methods, and cutting-edge AI-powered algorithms, the app empowers farmers to make informed decisions and adopt more eco-friendly and cost-effective practices. It has the potential to revolutionize the agriculture industry and contribute to a more sustainable future.

Country : Sri Lanka

1 Adhikari A.M.I.Y.2 Ranathunga R.M.S.S.3 Wijayakumara N.W.D.H.4 Dasanayaka U.D.P.M.

  1. Department of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Department of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Department of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 453-460

doi.org/10.47001/IRJIET/2023.710060

References

  1. T. Talaviya, D. Shah, N. Patel, H. Yagnik, and M. Shah, “Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides,” Artif. Intell. Agric., vol. 4, pp. 58–73, Jan. 2020, doi: 10.1016/j.aiia.2020.04.002.
  2. E. Kanimozhi and D. Akila, “Analysing the Impact of Climate Change on The Crop Yields of Irrigated Crops and their Water Requirements in India Using Neuro Evolutionary Algorithm,” in 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Sep. 2021, pp. 1–4. doi: 10.1109/ICRITO51393.2021.9596339.
  3. P. Rubini and P. Kavitha, “Deep Learning model for early prediction of plant disease,” in 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Feb. 2021, pp. 1104–1107. doi: 10.1109/ICICV50876.2021.9388538.
  4.  “Sri Lanka’s Plunge Into Organic Farming Brings Disaster - The New York Times.” https://www.nytimes.com/2021/12/07/world/asia/sri-lanka-organic-farming-fertilizer.html (accessed Aug. 15, 2023).
  5.  “(PDF) On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey.” https://www.researchgate.net/publication/357256786_On_Using_Artificial_Intelligence_and_the_Internet_of_Things_for_Crop_Disease_Detection_A_Contemporary_Survey (accessed Aug. 15, 2023).
  6. A.Kulkarni, “Applying image processing technique to detect plant diseases,” vol. 2, pp. 3661–3664, Jan. 2012.
  7. S. Rupavatharam and A. Kennepohl, “Automated plant disease diagnosis using innovative android App (Plantix) for farmers in Indian state of Andhra Pradesh,” Aug. 2018.
  8. Arshad P Muhammed, Shon C J, Shemeera P S, and Arya P Muralidharan,Veena K Viswam, “AGRIO APP: An Advanced Android Application  For Farmers.” International Journal of Creative Research Thought, Jun. 06, 2020.
  9. J. Ekanayake and L. Saputhanthri, “E-AGRO: Intelligent Chat-Bot. IoT and Artificial Intelligence to Enhance Farming Industry,” Agris -Line Pap. Econ. Inform., vol. 12, pp. 15–21, Mar. 2020, doi: 10.7160/aol.2020.120102.
  10. T. F. Erenso and D. H. Berhe, “Effect of Neem Leaf and Seed Powders Against Adult Maize Weevil (Sitophilus zeamais Motschulsky) Mortality,” Int. J. Agric. Res., vol. 11, no. 2, pp. 90–94, Mar. 2016, doi: 10.3923/ijar.2016.90.94.
  11. J. Sivagnanasundaram et al., “Digitally-Enabled Crop Disorder Management Process Based on Farmer Empowerment for Improved Outcomes: A Case Study from Sri Lanka,” Sustainability, vol. 13, no. 14, Art. no. 14, Jan. 2021, doi: 10.3390/su13147823.
  12. P. Kumari, “A Study of Traditional Pest and Diseases Control Methods for Sustainable Rice Cultivation in Sri Lanka,” Oct. 2016.
  13.  “Understanding the information landscape in agricultural communities in rural Bangladesh - Mazumdar - 2023 - THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES - Wiley Online Library.” https://onlinelibrary.wiley.com/doi/full/10.1002/isd2.12245 (accessed Aug. 15, 2023).
  14. A.Kumar, S. Kumar, Komal, N. Ramchiary, and P. Singh, “Role of Traditional Ethnobotanical Knowledge and Indigenous Communities in Achieving Sustainable Development Goals,” Sustainability, vol. 13, no. 6, Art. no. 6, Jan. 2021, doi: 10.3390/su13063062.
  15.  “Farmer perceptions and pesticide use practices in vegetable production in Ghana - Ntow - 2006 - Pest Management Science - Wiley Online Library.” https://onlinelibrary.wiley.com/doi/abs/10.1002/ps.1178 (accessed Aug. 15, 2023).