This paper is published in Volume-11, Issue-4, 2025
Area
Agriculture, Computer Science
Author
Jairaj Sander, Dr Sikander Singh
Org/Univ
Punjabi University, India
Pub. Date
26 August, 2025
Paper ID
V11I4-1222
Publisher
Keywords
Artificial Intelligence, Internet of Things, Agriculture, Supply Chain, Punjab, Smart Farming

Citationsacebook

IEEE
Jairaj Sander, Dr Sikander Singh. Predictive Crop Yield Modeling with AI and IoT for Efficient Supply Chain Management, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Jairaj Sander, Dr Sikander Singh (2025). Predictive Crop Yield Modeling with AI and IoT for Efficient Supply Chain Management. International Journal of Advance Research, Ideas and Innovations in Technology, 11(4) www.IJARIIT.com.

MLA
Jairaj Sander, Dr Sikander Singh. "Predictive Crop Yield Modeling with AI and IoT for Efficient Supply Chain Management." International Journal of Advance Research, Ideas and Innovations in Technology 11.4 (2025). www.IJARIIT.com.

Abstract

Efficient supply chain management is critical for improving the profitability and sustainability of agricultural produce in Punjab, India. Traditional systems often suffer from inefficiencies such as post-harvest losses, poor market linkages, and lack of real-time information flow. Artificial Intelligence (AI) and Internet of Things (IoT) technologies provide opportunities to optimize these processes by enabling predictive analytics, real-time monitoring, and smart decision-making.