Cromai

Cromai offers technological solutions for the agricultural sector, specifically focusing on weed identification and management, as well as the monitoring of vegetable impurities in sugarcane. According to the vendor, their products utilize artificial intelligence and computer vision to optimize processes, reduce costs, and increase productivity. Cromai's solutions are designed to cater to agribusiness companies of various sizes, ranging from small-scale operations to large enterprises. Professionals such as agronomists, agricultural managers, farm owners, crop consultants, and sugar mills can potentially benefit from the capabilities provided by Cromai's products.

Key Features

Cromai Scan: According to the vendor, this technological solution utilizes artificial intelligence to georeferenced identify groups of weeds in sugarcane fields, potentially enabling data-driven decision making and improving operational management processes. The vendor claims that it also aims to reduce herbicide costs through targeted spraying.

Cromai Sentinel: With the PCTS (Plant Cane Truck Sampler), this feature aims to ensure the quality of sugarcane entering the mill by instantly identifying any issues and alerting the harvesting teams. The vendor states that it increases the quantity of samples taken and provides precision, speed, and safety in the sampling process. It is also claimed to have the ability to integrate with the laboratory system for seamless data management.

Cromai Daninhas (Weed Plants): The vendor claims that this strategic digital management tool aims to optimize weed control in sugarcane fields, potentially reducing herbicide costs through targeted spraying. It is said to allow decision making based on infestation data and provide potential savings by minimizing the use of agricultural pesticides.

Cromai Vegetal Impurity (Vegetable Impurity): This feature is designed to monitor the quality of sugarcane by analyzing vegetable impurities. According to the vendor, it offers real-time monitoring of all samples from trucks entering the plant, potentially ensuring accuracy, speed, and security in assessing the quality of the sugarcane. It is also claimed to allow for seamless integration of data with the laboratory system.

Cromai Soy: According to the vendor, this feature is aimed at monitoring the health and development of soy crops. It is said to aid in the identification of nutritional deficiencies in plants, potentially enabling better decision making for foliar fertilizers and soil studies. Real-time analysis is claimed to allow for timely actions in the field.