The population is predicted to exceed nine billion, by 2050, necessitating a 70% increase in agricultural output to meet the need. Only around 10% of this enhanced production may come from the availability of undeveloped land, with the remaining 90?ing satisfied by intensifying current production. Utilizing modern technical advancements to increase farming efficiency continues to be one of the most important requirements in this context. The lack of labour and rising labour costs, rising costs of agriculture and crop failures linked to unpredictable yield due to diseases, failures in rainfall, climatic variations, and loss of soil fertility, as well as fluctuating market prices for agricultural commodities, etc., have had a significant negative impact on the socioeconomic status of this foundational population. We can create intelligent agricultural techniques using artificial intelligence and the internet of things to reduce farmer losses and provide them a high yield. One can collect a lot of data from public and government websites using artificial intelligence platforms, and the Internet of Things (IoT) also makes it possible to monitor different data in real time. The UN predicts that by 2050, two-thirds of the world's population would reside in cities, decreasing the workforce in rural areas. In order to reduce the workload on farmers, new technologies will be required. Operations will be performed remotely, processes will be automated, risks will be identified, and problems will be resolved. In the future, a farmer's skills will be less exclusively agricultural and more of a blend of biology and technology.