Research Topic · Peer-Reviewed

Big Data Analytics in Precision Agriculture

Big data analytics is the process of gathering and analyzing large amounts of agricultural data to inform decisions and optimize farming practices. This type of data analysis is becoming increasingly popular in precision agriculture due to its ability to quickly and accurately identify patterns and trends that can b…

📚 0 peer-reviewed articles cited 🔖 ISSN 2998-1506 🗓 Reviewed June 2026

Overview

Big data analytics is the process of gathering and analyzing large amounts of agricultural data to inform decisions and optimize farming practices. This type of data analysis is becoming increasingly popular in precision agriculture due to its ability to quickly and accurately identify patterns and trends that can be used to predict crop yields, identify optimal growing conditions, and develop more precise management practices. Precision agriculture is a vital component of sustainable agriculture, as it relies on technology to create precise, data-driven interventions that optimize production and conserve resources. Big data analytics in precision agriculture can help farmers make more informed decisions, reduce costs and improve the quality of their product. Ultimately, this allows farmers to become more profitable and ensure food security for local communities.

Research published in this journal

No peer-reviewed research on this exact topic has been published in Precision Agriculture yet. Browse the journal →

Editorial oversight

Curated from peer-reviewed research published in Precision Agriculture (ISSN 2998-1506).

This page summarises published research for orientation; it is not medical or professional advice.