Food safety is related to the health of consumers, and AI technology plays an important role in the field of agricultural product quality testing. AI combined with spectral analysis, mass spectrometry and other technologies can quickly and accurately detect safety indicators such as pesticide residues, heavy metal content, and microbial contamination in agricultural products. For example, near-infrared spectroscopy technology combined with AI algorithms can quickly detect the content of components such as moisture, protein, and fat in grains, as well as pesticide residues, without destroying the samples. The detection process only takes a few minutes, and the accuracy of the test results is comparable to that of traditional laboratory testing methods.
In food drying processing, AI automatically adjusts parameters such as drying temperature and wind speed according to the characteristics of different agricultural products, so that agricultural products can achieve the best drying effect and reduce the loss of nutrients while ensuring quality. By optimizing the processing technology through AI, agricultural product processing companies can produce higher quality products, increase the added value of agricultural products, and obtain better economic benefits.
Innovating Agriculture with AI
Terraoptima Robotics specializes in quantitative research, assessing AI adoption by farms to enhance productivity and efficiency in agricultural practices.
About Our Research
We conduct on-site investigations to gather vital data on agricultural practices, investment costs, and challenges faced by farmers adopting AI technologies.
With the continuous advancement and innovation of AI technology, agricultural product processing and quality inspection will be more efficient and accurate in the future, providing consumers with better quality and safer agricultural products.
The application of artificial intelligence technology in the field of agricultural product processing and quality inspection provides all-round guarantee for the quality and safety of agricultural products. From precise sorting to rapid inspection, from full traceability to process optimization, AI is driving the agricultural product processing industry towards intelligence, standardization and safety.
After a large fruit processing company introduced AI visual sorting equipment, the sorting efficiency increased to 5 tons of apples per hour, with an accuracy rate of over 99%, which is 10 times higher than manual sorting efficiency and greatly reduces misjudgments caused by manual fatigue. In tea processing, the AI visual system can identify the shape, color, and completeness of tea leaves, accurately classify tea leaves of different qualities, ensure the quality consistency of tea products, and enhance brand competitiveness. In addition, AI visual inspection is also used in the processing of poultry eggs, aquatic products, etc., to achieve functions such as egg crack detection and fish freshness judgment, to ensure the quality of agricultural product processing.