AI-Powered Agricultural Supply Chains DOI
James Kanyepe, Munyaradzi Chibaro, Masego Morima

et al.

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 33 - 64

Published: Dec. 26, 2024

The integration of artificial intelligence (AI) into agricultural supply chains has catalyzed profound transformations in global farming practices. This chapter provides an in-depth exploration the dynamic landscape AI-powered chains, elucidating how smart technology is reshaping traditional paradigms. Through utilization algorithms and data analytics, farmers are empowered to optimize various aspects their operations, ranging from crop monitoring yield forecasting resource management logistics. methodology involved documentary analysis, comprising a critical review academic books, articles, journals, websites about chains. Content analysis was employed identify develop key thematic insights. findings this study provide valuable insights for policymakers other stakeholders chain on harness AI decision-making.

Language: Английский

Emerging deep eutectic solvents for food waste valorization to achieve sustainable development goals: Bioactive extractions and food applications DOI

Sayani Mavai,

Aarti Bains,

Kandi Sridhar

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 462, P. 141000 - 141000

Published: Aug. 26, 2024

Language: Английский

Citations

4
AI-Powered Agricultural Supply Chains DOI
James Kanyepe, Munyaradzi Chibaro, Masego Morima

et al.

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 33 - 64

Published: Dec. 26, 2024

The integration of artificial intelligence (AI) into agricultural supply chains has catalyzed profound transformations in global farming practices. This chapter provides an in-depth exploration the dynamic landscape AI-powered chains, elucidating how smart technology is reshaping traditional paradigms. Through utilization algorithms and data analytics, farmers are empowered to optimize various aspects their operations, ranging from crop monitoring yield forecasting resource management logistics. methodology involved documentary analysis, comprising a critical review academic books, articles, journals, websites about chains. Content analysis was employed identify develop key thematic insights. findings this study provide valuable insights for policymakers other stakeholders chain on harness AI decision-making.

Language: Английский

Citations

0