The practice of using limited space and resources for planting is known as vertical farming. It’s a way of harvesting crops on shelves and towers located vertically rather than conventional horizontal farming. In vertical farming, crops are cultivated indoors, underneath artificial conditions of light and temperature. In other words, vertical farming aims to offer higher productivity in smaller spaces.

Smart farming is a concept in agriculture that involves data collection, data analysis, and data-driven decision making to increase yield, monitor crops and animals, and improve overall efficiency in all possible agricultural operations. Smart farming method or concept employs various technologies that become the means of operation. For example, to collect data, smart farming depends on the internet of things (IoT) and other sensorbased technologies, which allow seamless data collection. For data analysis, various farm management software and artificial intelligence (AI) based tools can be used to make sense of the collected data, and later autonomous machines and other mechanical equipment can be utilized to take necessary actions; for example, drones can be used to spread inputs such as pesticides and fertilizers.

Precision agriculture is defined as the practices adopted to make farming accurate and precise. The techniques may include the use of artificial intelligence, a wide array of technologies such as sensors, drones, robotics, automated hardware, telematics, software, and autonomous vehicles. For instance, GPS is used to receive location data from satellites and control the farmer’s tractor based on coordinates of the field. The segment covers an in-depth analysis of the drivers, restraints, and opportunities in the precision agriculture market.