Agricultural Monitoring registers good development conditions in the 2022/2023 harvest

Crops, in general, are evolving in a similar way or above the average development in the 2022/2023 harvest, in the main producing regions of the country, according to the monitoring of summer crops carried out by the National Supply Company (Conab). The Agricultural Monitoring Bulletin, published on Thursday (26/01), evaluates the agrometeorological situation and the behavior of vegetation indices obtained from agrometeorological models and remote sensing to measure the development of cultivated areas in several producing states.

The most recent data shows that the vegetative index is above the previous season in the north of Mato Grosso, in the southwest of Mato Grosso do Sul and in the west of Paraná. In the first state, the difference is mainly due to the delay in planting crops. In the last two, the main cause is the impact of the lack of rain on the development of the previous season. Likewise, in the Matopiba region (an area that encompasses the states of Maranhão, Tocantins, Piauí and Bahia), the evolution graphs of the vegetative index are also indicating a good productive potential of soybean and corn crops in the current harvest. 

In the south of Goiás, the index indicates similar vegetative development to that of the past season. In the west of Santa Catarina, despite the impact of excessive rainfall and low temperatures, which delayed the implantation and development of crops at the beginning of the current harvest, the vegetative index is close to the average, indicating a satisfactory condition in the development of corn first crop and soybeans. 

On the other hand, the vegetative index is below the average in the northwest of Rio Grande due to water restriction. So far, the graphs express more positive conditions compared to the past season, which was heavily impacted by the lack of rain.

The study is the result of collaboration between Conab, the National Institute of Meteorology (Inmet) and the Global Agriculture Monitoring Group (Glam), in addition to collaborating agents who provide data researched in the field.