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Smart agriculture strives to assist farmers in making decisions that will increase crop output and quality, save water and other input costs, and preserve soil health. The app was created on the ios platform using xcode 10 and the swift programming language. Even though the integration of intelligent technologies offers unlimited potential in precision commercial agriculture, optimal resource management remains a challenge considering that iot.
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This research utilizes technology for monitoring agricultural land, particularly focusing on soil moisture, humidity, temperature, and water levels in rice fields. The paper demonstrates iot applications, benefits, current obstacles, and potential solutions in smart agriculture. Traditional greenhouse farming often struggles with unpredictable weather, pest infestations, and inefficient resource use
To overcome these challenges, the proposed system optimizes environmental conditions.
Find the latest published papers in computers and electronics in agriculture + top authors, related hot topics, the most cited papers, and related journals To address these issues, we developed an intelligent monitoring system for detecting and identifying the disease and pest lesions on the rice canopy. Here, we have used five sensors for the parameters Soil moisture, humidity, temperature, rainfall, air pollution, and wild animal intrusion detection.
This research introduces a comprehensive “monitoring system for light intensity and water temperature as an analysis of evaporation for rice irrigation based on the internet of things”. The goal of this research is to evaluate smart agriculture using iot approaches in depth
