Farmer Connect”- A Step Towards Enabling Machine Learning based Agriculture 4.0 Efficiently

Desai, Jesal; Bohara, Mohammed Husain

doi:10.1109/icces51350.2021.9489039

Cited by 2 publications

(2 citation statements)

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“…The primary issue that any agro‐logistics company faces is food waste, which puts them on the government's radar; thus, increasing cold storage and refrigerated vans, among other things, can help them eliminate it. Desai and Bohara (2021) have echoed similar findings more recently. The second most effective strategy was the “Reducing carbon footprints strategy” (S2).…”

Section: Discussion Of Resultssupporting

confidence: 57%

“…In recent years, several threats have intensified due to climate change and fluctuating food costs (Assa et al, 2021). Practitioners have recommended cloud‐based smart technologies, including AI, ML, robots, drones, and 5G, to make the sector healthier and more productive (Desai & Bohara, 2021). For instance, recent blockchain applications in agriculture aimed to improve food safety and transaction speeds (Kambleb et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

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Evaluation of strategies to manage risks in smart, sustainable agri‐logistics sector: A Bayesian‐based group decision‐making approach

Gupta

Kharub²,

Shreshth

et al. 2023

Bus Strat Env

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The agriculture industry is one of India's largest and most important economic contributors. This is vital to the Indian economy since it contributes around 18% to the GDP and employs over 60% of the labour force. Due to the nature of the goods, however, this sector confronts many challenges. An effective agri‐logistics network can be a viable solution, but the sector must be prepared to overcome various risks. Therefore, this study aimed to identify potential risks to the smart, sustainable agri‐logistics industry and strategies for mitigating those risks. Bayesian Best Worst Method (BBWM) was used to prioritise the identified risks and the mitigating strategies. Study results indicate that by obtaining the highest ratings, technological (0.351), social (0.187), and individual (0.169) are the dominating risks to the agri‐logistics sector. Further, it was discovered that combining multiple strategies is more effective than any one strategy alone in reducing the identified risks.

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Section: Discussion Of Resultssupporting

confidence: 57%