Weeds have a significant and negative impact on agricultural cultivation. They compete with desired crops for essential resources such as water, nutrients and sunlight, reducing crop growth and productivity. Furthermore, weeds can harbor pests and diseases, further damaging the health of crops. Radaz carried out artificial intelligence training for weed detection in sugarcane plantations. It is possible to apply it to other types of cultivation through artificial intelligence training. To identify the weed, the L Band is needed to recognize the presence and the P Band to provide the biomass,...

Knowing the harvest harvest date and plantation productivity is essential for successful plantation management. Harvest date determines the ideal time to harvest and yield provides essential information about crop performance. Radaz carried out artificial intelligence training to predict harvest date and productivity in sugar cane plantations. It is possible to apply it to other types of cultivation through artificial intelligence training. With Radaz technology it is possible to predict the harvest date in 5 days and plantation productivity 3 months in advance. The accuracy is 88%. Sugarcane...

Soil moisture detection in crops is vital information for optimizing irrigation, ensuring adequate water supply to plants and maximizing crop efficiency. Soil moisture detection also helps prevent wastage of water resources and reduce production costs, contributing to more sustainable and productive agriculture. Radaz carried out artificial intelligence training to detect soil moisture in sugarcane plantations. It is possible to apply it to other types of cultivation through artificial intelligence training. Below is a soil moisture map, in which it is possible to read that the area flown...