Abstract

Digital transformation plays an important role in the sustainable development of agriculture by integrating new IT technologies, enhancing economic performance, and addressing challenges and opportunities in the industry. This study highlights the importance of digitalization in agriculture, emphasizing the need for better economic outcomes for increased investments to protect the environment. Precision digitalization of agriculture enables analysis of soil and agrochemicals, and prediction of diseases and pests, leading to more efficient resource management and reduced costs in crop production. By using machine learning models to analyze soil data and suggest suitable crops for specific fields, digital tools are empowering farmers to make informed decisions, enhance plant growth and ensure sustainable agricultural practices. Overall, integrating digital technologies into agriculture not only increases yields, but also contributes to the long-term development and resilience of the agricultural sector. IoT devices play an important role in increasing crop yields by providing real-time data on key factors such as soil moisture, minerals and light intensity, enabling farmers to make forward-looking decisions to improve crop growth and productivity. These devices use sensors to collect data remotely and transmit it to producers instantly, allowing agricultural areas to be monitored and managed efficiently. By integrating IoT with machine learning models, such as analyzing soil NPK values to suggest suitable crops for specific fields, farmers can improve their agricultural practices and improve production. In addition, IoT devices facilitate automated job completion, data transmission and reception over the Internet, providing a plethora of data analysis standards that contribute to enhancing agricultural productivity and sustainability.