The crops are subjected to environmental stressors like drought, salinity, extreme temperatures, heavy metals and nanoparticles (NPs), which reduce the quality of crops and interfere with their overall health. These issues are addressed by the farmers seeking assistance with smart technologies, including precise and real-time data analysis, facilitating field management. Cloud computing, biosensors, machine learning (ML) and the Internet of Things (IoT) are all making a major contribution to the implementation of more efficient and sustainable agricultural practices. The latest developments in the field of agriculture are the high-tech greenhouse systems and field sensors, which enable farmers to continuously monitor the health of soil as well as to measure other important parameters like pH, temperature, salinity, heavy metals, and nutrient content. This information is further utilised in controlling the irrigation management, application of the fertiliser and the general consumption of the resources. Along with this, the ML algorithms are also essential in precision farming as they give live data of the field and subsequently predict the future requirement of crops. IoT and AI lead to an immense advancement in the agricultural system, consequently allowing farmers to make informed decisions. Moreover, the use of NPs in the agricultural sector using such intelligent and accurate methods enables farmers to boost production without impacting the environment. The studies in this field require additional research, which certainly guarantees the creation of efficient farming methods that enhance the development of crops by using environmentally friendly methods. Thus, the introduction of smart technologies is defining a new age of precision farming in which three crucial parameters, including efficiency, sustainability, and environmental protection, will significantly achieve the growing global food demand.