Withdrawal: Yuan, M., Zhao, C., Cheng, C., Outsourcing behavior of farmers in agricultural production under rapid transformation. Agronomy Journal. 2022; Accepted Articles. https://doi.org/10.1002/agj2.21228.

Abstract

AbstractAgricultural convergence technology based on the Internet of Things (IoT) provides high values for enhancing the productivity of processing the quality increase of agricultural products in agriculture production. Smart Farming is rising exponentially as data have been turned into a core factor for digital agriculture to enable farmers to make important decisions. The objective knowledge gathered through sensors provides practical advantages to increase efficiency and sustainable growth. The biggest challenge in agriculture is encouraging farming and providing customers with the highest quality possible. Furthermore, the internet of things‐assisted production monitoring model (IoT‐PMM) with the digital platform has been proposed to improve agricultural production and the quality of agricultural products. The proposal focuses on predicting the different diseases that affect crop growth and providing the farmer with information about the ratio of pesticides used to decrease the risk of pesticide overuse in the environment and human health. The experimental results show the IoT‐PMM to implementation precision farming, an approach to future agriculture that facilitates supply and demand estimation, real‐time management, and quality conservation over the entire life cycle of agricultural produce through convergence technologies. The simulation analysis result shows that the IoT‐PMM scores the high precision ratio of 94.9%, high accuracy ratio of 98.3%, a better performance ratio of 98.1%, improves prediction ratio of 94.9%, reduces energy consumption ratio of 21.7%, enhances effective crop monitoring ratio of 96.1%, production density ratio of 92.7% and reduces moisture content ratio of 15.1% when compared to other popular models.This article is protected by copyright. All rights reserved