Applying science, engineering and digital innovation to improve agricultural production, resource efficiency, market access and the wider agricultural value chain.
From smart irrigation to AI and post-harvest solutions, technology can address specific agricultural challenges.
Agri technology, or agricultural technology, refers to the application of science, engineering, digital systems, biotechnology, machinery, and other technological innovations to improve agricultural production and the wider agricultural value chain.
It includes farm machinery, improved irrigation systems, drones, agricultural sensors, artificial intelligence, robotics, biotechnology, digital marketplaces, farm-management software, cold-chain technology, and post-harvest technologies.
Agri technology is important because agriculture is increasingly required to produce more food while dealing with limited land, water, labour, and environmental resources.
Technology can improve productivity, reduce wastage, increase market access, improve product quality, and provide farmers with better information. Technologies such as cold storage and improved packaging can also reduce post-harvest losses and extend the marketable life of agricultural products.
Common problems include high investment requirements, lack of trained personnel, maintenance difficulties, limited access to technical support, and technology that is poorly adapted to local farming conditions.
Some technologies may work effectively in large commercial farms but may not be economically suitable for small farms. Farmers should therefore evaluate the technology's usefulness rather than adopting it simply because it is new.
Practical adoption should focus on specific farm problems. A farmer facing water shortages may benefit more from drip irrigation and soil-moisture monitoring than from expensive robotics.
A farmer facing market problems may benefit from digital marketplaces, farm-management software, or supply-chain solutions. Before investing, farmers should compare purchase or subscription costs, operating expenses, expected savings, productivity improvements, technical support, and the time required to recover the investment.
Drip systems, automated controls and soil-moisture monitoring can improve water-use efficiency and help deliver water according to crop requirements.
Drones and artificial intelligence can support crop monitoring, field assessment, disease detection and data-driven decision making.
Modern machinery can reduce labour requirements, improve operational efficiency and increase the timeliness of farming activities.
Digital platforms can connect farmers with buyers, improve market information and support more efficient agricultural supply chains.
Consider drip irrigation, automated irrigation controls and soil-moisture monitoring to improve water management.
Digital marketplaces, farm-management software and supply-chain solutions may help improve market access and coordination.
Compare purchase costs, operating expenses, expected savings, productivity gains and technical support before making an investment.