Agriculture involves several laborious activities like planting, maintaining, and harvesting. These tasks require money, manual labor, and other resources. Employing AI-powered machine vision models, autonomous tractors, and drones will facilitate the most complex and routine tasks while guaranteeing efficiency and cost-effectivity.


Agriculture industry

Sometimes referred to as the 4th revolution in agriculture and food production, artificial intelligence (AI) supported machine vision determines the best course of action in tandem with other connected technologies. Agriculture involves several laborious activities such as planting, maintaining, and harvesting, which require money, manual labor, and other resources. Employing AI-powered machine vision, autonomous tractors, and drones can facilitate the most complex and routine tasks while guaranteeing efficiency and cost-effectivity. Soil and crop monitoring, livestock and plant disease diagnosis, automatic weeding and spraying, as well as grading and sorting, can be meticulously performed by AI-powered machines. Besides, machines significantly improve the gathering and analysis of data which is of great value to farmers when making  crucial decisions. Last but absolutely not least, agricultural robotics is only just  adopting modern AI technology to meet growing global food demands and promote food security, thus most of its capabilities are yet to be unlocked.

AI Applications in agriculture

  • Soil and crop monitoring: Soil nutrients directly affect product quality and yield. Traditionally nutrients are monitored and maintained by farmers, this method, however, is not accurate and timely. Using our AI-powered drones, aerial images can be obtained and analyzed by computer vision models which will alert the farmer about problematic areas so that immediate action could be

Soil and crop monitoring

  • Livestock and plants disease diagnosis: AI computer vision can accurately monitor the health of livestock and plants, using deep-learning algorithms. The suitable AI model for your farm or ranch will be derived using image classification, object detection, and segmentation, to continuously monitor the livestock or plant health. Our intelligent model can also determine the most profitable crops for specific soil and weather conditions and the best time for seeding. Besides monitoring disease, AI can be used to count animals or crops, as well as to identify unusual behavior in animals (like giving birth).


  • Automatic weeding and spraying: To reduce the use of herbicides and practice more sustainable and environmentally friendly agriculture, AI-powered computer vision can quickly and accurately find and remove weeds. In addition, drones equipped with AI-supported cameras can automatically and uniformly spray water, pesticides, or fertilizers across the Using our intelligent system, the target areas will be immediately recognized and precisely treated to minimize the risk of contamination to humans, crops, and water resources, while reducing pesticides, fertilizers, water, and seed waste to increase cost-efficiency.

Automatic  spraying

  • Harvesting: AI computer vision predicts the optimal harvest time, which can be automatically accomplished by agricultural robotics.


  • Grading and sorting: AI computer vision intelligently grades and sorts crops after harvest. The products will first be inspected for size, shape, color, or any defect and then automatically sorted and graded with highly improved speed and accuracy compared to manual methods.


  • Predicting market demand: AI algorithms can predict markets’ size and needs using historical data and give intelligent suggestions to farmers to produce more profitable products.