The digital future of farming: a bibliometric analysis of big data in smart farming research DOI Creative Commons
Bikash Paudel, Saba Riaz, Shyh Wei Teng

и другие.

Cleaner and Circular Bioeconomy, Год журнала: 2024, Номер unknown, С. 100132 - 100132

Опубликована: Дек. 1, 2024

Язык: Английский

From social media to price swings: Dissecting the dynamic key drivers of public sentiment on the pricing fluctuation of minor agricultural products DOI

Lifang Fu,

Y. Liu

Journal of Rural Studies, Год журнала: 2025, Номер 117, С. 103655 - 103655

Опубликована: Апрель 11, 2025

Язык: Английский

Процитировано

0

Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules DOI
Bonaventure Boniface, Geoffrey Harvey Tanakinjal, Rayner Alfred

и другие.

Lecture notes in electrical engineering, Год журнала: 2024, Номер unknown, С. 589 - 611

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Harnessing Artificial Intelligence for Circular Economy in Agriculture DOI
Mrinal Sen, Sandip Garai, Suman Dutta

и другие.

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 317 - 362

Опубликована: Дек. 26, 2024

Artificial intelligence (AI) is highlighted as a crucial enabler of circular agriculture economy. Utilising advanced data analytics and predictive modeling, AI allows precise monitoring, analysis, optimisation various agricultural processes. AI-driven further optimise resource allocation, reducing the overuse fertilisers, pesticides, water while maximising yields profitability. Furthermore, AI-powered supply chain management enhances traceability transparency, enabling stakeholders to identify inefficiencies, mitigate risks, minimise food loss waste. Additionally, facilitates valorisation by-products waste through innovative recycling upcycling initiatives, transforming organic into valuable inputs such biofuels, animal feed. Overall, this chapter delves transformative potential economy approaches within sector, emphasising critical need for reduction, optimisation, enhanced efficiency.

Язык: Английский

Процитировано

0

The digital future of farming: a bibliometric analysis of big data in smart farming research DOI Creative Commons
Bikash Paudel, Saba Riaz, Shyh Wei Teng

и другие.

Cleaner and Circular Bioeconomy, Год журнала: 2024, Номер unknown, С. 100132 - 100132

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0