IoT-Smart Agriculture: Comparative Study on Farming Applications and Disease Prediction of Apple Crop using Machine Learning

Abstract

Recently, the Internet of Things has emerged as an encouraging technology that is scaling up new heights towards the modernization of real word physical objects into smarter devices in several domains. Internet of Things (IoT) based solutions in agriculture drives farming into a smart way through the proliferation of smart devices to enhanced production with minimal human involvement. This paper presents a comprehensive study of the role of IoT in prominent applications of farming, wireless communication protocols, and the role of sensors in precision farming. In this research article, the existing frameworks in IoT-based agriculture systems with relevant technologies are presented. Furthermore, the comparative analysis of the apple disease prediction system concerning different types of disease found in the apple crop are discussed. In addition, this paper presents the contributions made by numerous researchers over the past few years in the apple disease prediction system. The aim of this research is to support the development of smart agriculture applications that would be helpful in precision farming for the optimization of resources with the help of IoT in agriculture and early disease prediction in apple crops.

Performance Analysis of Distributed Database Management System for IoT in the Context of Smart Agriculture in Indonesia

“…Scholarly work has explored integrated frameworks and best practices for combining IoT technologies with DDBMS in the domain of smart agriculture [2], [25]. These studies aim to optimize IoT data transmission, reduce energy consumption, improve network efficiency, and minimize storage and processing requirements [26]. The comparison of different data reduction techniques, such as sampling, quantization, and deduplication, has been conducted using real-time datasets specifically designed for smart agriculture systems [26].…”

“…These studies aim to optimize IoT data transmission, reduce energy consumption, improve network efficiency, and minimize storage and processing requirements [26]. The comparison of different data reduction techniques, such as sampling, quantization, and deduplication, has been conducted using real-time datasets specifically designed for smart agriculture systems [26]. Additionally, the impact of existing wireless protocols, such as LoRa WAN, Zigbee, Sigfox, and NB-IoT, on IoT-WSN-enabled smart farming has been analyzed [27].…”

Intelligent Analysis of Soil Climatic Parameters

“…В сельском хозяйстве все больше используются технологии интернета вещей (IoT), датчики и автоматизированные системы. Мониторинг состояния почвы на основе анализа данных таких систем становится неотъемлемой частью процесса принятия решений в сельском хозяйстве и помогает сельскохозяйственным предприятиям перейти к более эффективным и точным методам управления [1]. Продуктивность сельского хозяйства в значительной мере зависит от состояния почвы, характеризующейся как химико-биологическим составом, так и климатическими показателями, такими как влажность, уровень освещенности и температура.…”