Smart Farming and Precision Agriculture and Its Need in Today’s World

Smart farming and precision agriculture are two intertwined concepts that leverage technology and data-driven methods to transform conventional farming practices. This chapter dissects the fundamental principles underlying these concepts and explores their synergistic impacts on modern farming. Smart farming is an approach that involves the latest technologies such as machine learning, Internet of Things, big data, cloud computing, etc. in the field of agriculture. These technologies together form more meaningful facilities to obtain the desired output and help us to automate, manage, and monitor the various operations performed here. Some of the applications of smart farming include weather report collection, large-scale fertilizer distribution, detection of crop diseases and pests, etc. Precision agriculture, on the other hand, is a subset of smart farming focusing specifically on the technical aspects of crop and resource management at a granular level. The need for higher crop output and greater use of natural resources as a result of the growing population led to the degradation of soil quality, global warming, and abrupt changes in the climate. The advancement of smart farming not only reduced the impacts of overpopulation but also ensured high-quality crops and reduced the cost of production in the agricultural sector. These ideas have the potential to boost agricultural resilience, improve resource allocation, and improve food security by utilizing technology, data-driven insights, and sustainable practices. As global demands for food intensify and resources dwindle, this chapter emphasizes the transformative power of smart farming and precision agriculture in redefining global food systems and paving the way for a sustainable future.