Abstract
In most countries, agriculture is considered a major primary sector and a principal source of income. It is estimated that by the year 2050, the world’s population is expected to reach 9.1 billion people. According to the United Nations Food and Agriculture Organization (FAO), food production would need to expand by almost 70% to feed the growing population. As a result, the increase in agricultural productivity is critical in ensuring high crop yields and farm profitability. The proposed work aims to design an automated, fast-processing, real-time weather monitoring system for sustainable development in smart farming against climatic action. The proposed weather monitoring system is based on IoT technology designed using proteus simulation tool which collects necessary environmental data by using a Temperature sensor (LM35), Pressure sensor (BMP180), Soil moisture sensor, Rain sensor, and Raspberry Pi (RPI3) and the data are fed to ThingSpeak platform to predict the suitable condition for crop growth and better crop yield.
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