28 Oct 2025
Artificial intelligence and robotics are reshaping pruning in orchards. Apples, cherries and blueberries are at the core of smart systems enhancing efficiency, precision and sustainability through sensors, AI algorithms, data analysis, and hyper-realistic digital tree models.
01 May 2025
A smart system using climate sensors and computer vision estimates cherry ripeness in the field with less than 5% error. A breakthrough for precision agriculture and the sustainability of fruit production chains.
31 Mar 2025
Artificial intelligence is revolutionising cherry sorting, ensuring greater precision, reduced waste and higher quality. Find out how advanced technologies such as deep learning optimise packaging and improve productivity in the fruit and vegetable sector.
24 Mar 2025
The O'Higgins region of Chile uses artificial intelligence to revolutionise cherry cultivation. Drones and sensors ensure accurate data for more efficient, high-quality and competitive production on the global market.
10 Jan 2025
The main objective of the work conducted in Chile in collaboration with the German research center for artificial intelligence was to predict the daily spatial variation of plant water potentials through the use of machine learning models.
19 Dec 2024
Research by the Department of Food Science and Engineering at Zanjan University (Iran) used RGB images to study alterations in surface defects, estimate physical and chemical properties and classify the quality of sweet cherries.
12 Dec 2024
With Chile leading the world in cherry exports, especially to markets such as China, GP Graders' innovations are proving to be a key element in maintaining the country's competitiveness. The incorporation of AI improves product quality and system efficiency.
29 Nov 2024
The management of ESPAGRY IBÉRICA needed to digitise part of the production process and opted to purchase a machine with artificial intelligence. The cost of the machine was partially subsidised by the regional government.
29 Nov 2024
“The way technology detects defects, precisely identifies colors, and sorts sizes is far superior to what mechanical sorters and humans could achieve. Considering the large volumes we handle and the high standards we need to meet today, using optical sorting is simply a must.”
06 Aug 2024
A study at the University of Michigan (USA) analysed the roots of orchard trees in full production using an 800 MHz GPR antenna. The resulting images were processed with artificial intelligence (AI) algorithms to extract root patterns.
