Agriculture is the cultivation of soil, the cultivation of crops, and the raising of livestock. Agriculture is essential to the economic development of any country. Despite significant advancement in the service sector, agriculture remains India's most important employer and source of income. The agricultural sector has great potential to improve food needs and provide healthy and nutritious food. But nowadays, the situation is not favoring the farmers. Farmers have to bear a lot of loss due to diseases, pests, and lack of moisture in soil, destroying the crop. Detecting insects and diseases in plants is one of the most challenging tasks for farmers, as large portions of crops are damaged, and quality is affected as a result. Farmers have so far adopted conventional farming methods. These techniques were imprecise, slowing productivity and taking a lot of time. Precision agriculture helps improve productivity by identifying steps that need to be taken at different phases of crop production. Precision farming uses advanced techniques such as collecting data, training systems, and predicting outcomes using IoT, data mining, data analytics, machine learning, and more. With the help of emerging technologies, precise farming reduces manual work and increases productivity. The application of machine learning with IoT data analytics in the agricultural sector brings new benefits to improve the quantity and quality of production from crop fields and meet the growing demand for food. The proposed model will predict the task needed to be performed at the time of disease in the crop, lack of moisture in the soil, in case of pests, etc. The goal of this work is to enable individuals to grow crops efficiently and achieve high productivity at low cost.

来源平台：ADVANCED NETWORK TECHNOLOGIES AND INTELLIGENT COMPUTING, ANTIC 2023, PT I