From Industry 4.0 Toward Agriculture 4.0

The biggest problem facing contemporary agriculture today is the enormous and ongoing growth of the world population, which necessitates a bigger production of agricultural goods to meet the needs for food. Also, there are more challenges facing agriculture, like the recent rise in inefficiency brought on by global climate change, reduced irrigation water, increasing soil contamination, plant diseases, and heat waves, all of which have a negative impact on agriculture sectors. In order to retain efficiency, sustainability, and quality, the agricultural sector needs to make investments in modern technologies and infrastructure that will allow it to evolve into a smart industry capable of addressing these difficulties through lean operations supported by industrial digital technologies. The manufacturing industry has fully embraced the industry 4.0 strategy, allowing them to achieve increased optimization, efficiency, responsiveness, and autonomy supported by the digitization approach. In order that to make a paradigm shift in the future of the agricultural industry, this paper deals with the digitization of agriculture, which is based on IOT, AI, and artificial neural network (ANN) technologies. The use of these technologies in agriculture will lead to the production of many services, such as data collection and analysis, pattern recognition, and independent decision-making based on artificial intelligence, added to existing agricultural automation as result of these processes. The agricultural industry is currently one of the most inefficient industries, and its use will lead to a technical revolution in the agricultural sector to improve productivity, quality, and sustainability.