Autonomous devices are on the rise in the agriculture industry that is growing rapidly to support the high demand for organic food. The reduction of human labor in crop production has resulted in tech start-ups to swarm this life-sustaining sector to seek opportunities. This will undoubtedly lure more tech enthusiasts in the coming years to engage in farm production to streamline harvest produce.
Farmers are battling a variety of obstacles during farming and post-harvest. Solving these problems using artificial intelligence and machine learning can be time and money-saving. Autonomous machines can radically change how we harvest farms and efficiently produce more crops.
With the advancement of technology, it is becoming easier to source and innovates the Agritech industry by deploying machines that automate tasks and give real-time monitoring dashboards to farmers.
Entrepreneurs are looking for ways to disrupt the traditional ways of harvesting by using the latest innovative technologies that are shaping the world. It is important to highlight the need for more tech ideas in agriculture, and in particular, how we farm, grow, harvest, and supply.
- AI Temperature-controlled storage facilities for harvest produce: By improving the quality of crops and preventing wastage, it is necessary to enable farmers to lease or rent out spaces for their crops to be sustained in the short and long-term. In addition to that, the reduction of the carbon footprint that will have resulted at the end of life of a product will be eliminated or partly reduced.
- Decentralized drone spraying system: Farmers utilizing drone technology for irrigation and prevention of pests are faced with the challenges of acquiring and operating the equipment. Having a decentralized drone technology that can sensor, launch, and monitor when a particular task will be carried out on the farm is of greater importance. Tasks such as soil management, disease prevention, moisture levels, analytical, and season or phase tracking will be some of the main duties that will be carried out by the drones. Farms of interest will be registered on the platform and only farms that are on the system are serviced and monitored by farmers.
- Machine learning pricing system: This can be characterized as a way of enabling growers, farmers, retailers, and customers to benefit from a fair price on the market by learning and predicting quantities of the produce. The aim is to have autonomous real-time pricing of quantities produced by farmers and alert retailers and customers of incoming harvest.
The use of drones is an essential tool for farmers as they provide in-depth information about crops and precision farming. To innovate this existing technology by using artificial intelligence and machine learning will increase production.
The result will enable entrepreneurs in the Agritech sector to transform and change the dynamics of how things were done in the past by helping farmers yield more produce, and reduce the price on the market.