Abstract

References

• Thurston, H. David. Sustainable practices for plant disease management in traditional farming systems. CRC Press, 2019.
• Worrall, Elizabeth A., et al. 'Nanotechnology for plant disease management.' Agronomy 8.12 (2018): 285.
• Raymaekers, Katrijn, et al. 'Screening for novel biocontrol agents applicable in plant disease management–a review.' Biological Control 144 (2020): 104240.
• Al-Ani, Laith Khalil Tawfeeq. 'Trichoderma: beneficial role in sustainable agriculture by plant disease management.' Plant microbiome: stress response. Springer, Singapore, 2018. 105-126.
• Wang, X. Q., et al. 'Application and mechanisms of Bacillus subtilis in biological control of plant disease.' Role of rhizospheric microbes in soil. Springer, Singapore, 2018. 225-250.
• McGovern, Robert J., and Robert McSorley. 'Physical methods of soil sterilization for disease management including soil solarization.' Environmentally safe approaches to crop disease control. CRC Press, 2018. 283-314.
• Shruthi, U., V. Nagaveni, and B. K. Raghavendra. 'A review on machine learning classification techniques for plant disease detection.' 2019 5th International conference on advanced computing & communication systems (ICACCS). IEEE, 2019.
• Ferentinos, Konstantinos P. 'Deep learning models for plant disease detection and diagnosis.' Computers and electronics in agriculture 145 (2018): 311-318.
• Ramesh, Shima, et al. 'Plant disease detection using machine learning.' 2018 International conference on design innovations for 3Cs compute communicate control (ICDI3C). IEEE, 2018.
• Mahlein, Anne-Katrin. 'Plant disease detection by imaging sensors–parallels and specific demands for precision agriculture and plant phenotyping.' Plant disease 100.2 (2016): 241-251.