Year: 2025
Type: article
Abstract: For many people in India, agriculture is their primary source of income.Crop production is one of the good things about our country.Excessive and insufficient application of fertilizer rarely fails to result in poor crop quality.The recommended IoT and ML system makes soil testing possible using soil parameter identifying and tracking sensors.The method will prevent soil erosion and maintain crops.As per the scenario, various sensors of this type measure the temperature, humidity, moisture content, and pH of the soil and NPK nutrients.Types of Information collected The microcontroller that analyses the data used in machine learning like a random forest is stored in the Information gatherer.Suggestion as to the best crop to grow is then formulated.The main tool of the above project-method of identifying whether a The plant is vulnerable to being unhealthy is the convolutional neural network.
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4413911751