Application of Machine Learning in Agriculture 2022
DOI: 10.1016/b978-0-323-90550-3.00007-2
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Plant diseases detection using artificial intelligence

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Cited by 9 publications
(4 citation statements)
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“…Cluster B, comprising 26 documents from cluster 2, 4 and 5 (timespan 2009–2022) and focuses on AI applications for efficiency and productivity enhancement. These AI-based technologies help predicting and monitoring crop diseases (Anand et al. , 2022; Khan et al.…”
Section: Resultsmentioning
confidence: 99%
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“…Cluster B, comprising 26 documents from cluster 2, 4 and 5 (timespan 2009–2022) and focuses on AI applications for efficiency and productivity enhancement. These AI-based technologies help predicting and monitoring crop diseases (Anand et al. , 2022; Khan et al.…”
Section: Resultsmentioning
confidence: 99%
“…Research in this area aims at enhancing productivity and performance through AI technologies, thereby improving efficiency and effectiveness (Yang et al, 2020). A variety of AI implementations in the agri-food industry, ranging from crop disease detection (Anand et al, 2022;Darapaneni et al, 2022), to crop monitoring (Goel et al, 2022a), and crop productivity yield (El Hachimi et al, 2021;Kumar et al, 2015) and accuracy (Saranya et al, 2021) illustrate the potential of AI. Notably, the employment of robotic chefs to predict and ameliorate food quality as showcased by Zhu and Chang (2020) testify that AI holds a transformative power.…”
Section: Discussion: An Interpretive Frameworkmentioning
confidence: 99%
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