TPTC: topic-wise problems’ trend clusters for smart agricultural insights extraction and forecasting of farmer’s information demand

TPTC: topic-wise problems’ trend clusters for smart agricultural insights extraction and forecasting of farmer’s information demand

Abstract To meet the challenges of increasing food production demand globally, extracting insights regarding the persistent agriculture-related problems on a nationwide scale is the need of the hour. Policymakers now have limited possibilities for acquiring a comprehensive knowledge of the difficult...

Full description

Saved in:
Bibliographic Details
Main Authors: Samarth Godara, Shbana Begam, Ram Swaroop Bana, Jatin Bedi, Rajni Jain, Md. Ashraful Haque, Rajender Parsad, Sudeep Marwaha, Madhu Patial, Saber Shirzad, Ravi Nirmal
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Agricultural problems analytics
Artificial intelligence in agriculture
Forecasting
Helpline centre data
Machine learning.
Online Access:https://doi.org/10.1038/s41598-024-80488-x
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items