… thus, help to reduce the impact of agriculture on climate change. This chapter explains how
precision farming can be adopted at every farm level with the help of various technical inputs …

… This paper showcases the potential ICT technologies in traditional agriculture, as well as
the issues to be encountered when they are applied to farming practices. The challenges of …

… , led precision agriculture to digitalization by integrating information technologies and improved
automation capabilities in precision farming. As … Smart agriculture is an evolving field that …

… the farmer. Pesticides, herbicides, fertilizers and water can be applied autonomously by the
smart agricultural … Agriculture 4.0; Data collection methods have been developed with remote …

… in IoT, it is possible to connect the agriculture and farming bases situated in rural areas …
agriculture and farms in rural areas. Compared to the existing IoT-based agriculture and farming …

… -guided intelligent systems in challenging agricultural environments. The focus of … precision
farming tasks. This paper first discusses various salient crop metrics used in digital agriculture…

… agriculture more precise and profitable. Some of the contemporary applications using AI and
IoT in smart precision farming … precision farming, the IoT is mainly used in Smart agriculture …

… Smart Farming (SF) and Precision Agriculture (PA) have attracted attention from both the
agriculture … Altogether, SF and PA aim to help farmers use inputs (such as fertilizers and …

… Though, the advent of smart farming and precision agriculture … the existing smart farming
models for precision agriculture. The … of the digitized or automated (smart agricultural) process. …

… In this paper, a smart system oriented to precision farming purposes was described. The
system was shown to be effective in two experimental pilot sites. The presented system was …