IoT-based smart agriculture is a modern farming practice that uses technology to enhance farming. It involves the use of smart sensors and analytics to gather and examine data, empowering farmers to make decisions, optimize resources, and improve efficiency. Smart agriculture contributes to sustainable and productive farming practices, and it is significant for several reasons.
Firstly, it reduces the operating costs of farming, aids in less energy consumption, and contributes to food security during climate changes. Secondly, it improves crop health and prevention, and it contributes to remote monitoring of crops. Thirdly, it lowers the ecological impact of farming. Lastly, it will aid in feeding the growing population in the future. According to a report by the UN Data, the global population has been estimated to grow from 7.7 billion in 2020 to 9.7 billion in 2050. Thats nearly impossible to support without the implementation of smart technology. These systems are known to achieve higher yields as compared to that of manual farming methods in numerics, approximately 1.75% .
IoT-based smart agriculture systems use a combination of IoT-equipped sensors and AI models for precise rainfall prediction and fruit health monitoring. The innovative approach combines CNN (Convolutional Neural Network) and LSTM (Long Short-Term Memory) models to predict rainfall with high accuracy. The fruit health monitoring system uses a combination of IoT sensors and AI models to detect fruit diseases and pests. The system can detect diseases and pests in real-time, allowing farmers to take immediate action .
The key components of a smart agriculture system using IoT include sensors, IoT devices, data analytics platforms, and automated machinery. Sensors help monitor soil moisture, temperature, and crop health, providing real-time information for knowledgeable decision-making. IoT devices support communication among sensors, machinery, and the farmer, linking them all together. Data analytics platforms transform raw data into insights, allowing farmers to make choices, optimizing aid use and increasing performance. Automated machinery, from self-driving tractors to precision planters, ensures tasks are achieved with accuracy .
In conclusion, IoT-based smart agriculture is a revolutionary technology that is transforming traditional farming practices. It provides real-time insights into vegetation wellness, soil conditions, and machinery popularity, contributing to sustainable and productive farming practices. The benefits of smart agriculture are vast, and it is significant for reducing operating costs, improving crop health, and contributing to food security during climate changes. With the growing population, smart agriculture systems will play a crucial role in feeding the world in the future .