Portal Direito da Comunicação Direito da

Portal Direito da Comunicação

Portal Direito da Comunicação


Geospatial Intelligence and Precision Agriculture and Livestock Activities

por Ericson Scorsim

abr 30, 2021

Ericson Scorsim. Lawyer and Consultant in Regulatory Communications Law. Ph.D. in Law from the University of São Paulo (USP). Author of the book “Jogo geopolítico das comunicações 5G – Estados Unidos, China e impacto sobre o Brasil” (The Geopolitical Game of 5G Communications – United States, China, and Impact on Brazil), published on Amazon.

Several advanced technologies have been applied in the agricultural sector. The trend is toward the digitalization of rural areas through increased connectivity in the field.

Currently, geospatial technology is used to perform precision farming services. With high computing power and infrared vision, it is possible to monitor various aspects of the crops from satellite images. From pest control, soil moisture, climate, plant health. This type of geospatial technology serves several interests. On one side, farmers benefit from more precise information on crop areas, best times for planting and harvesting, productivity, rainfall rates, cost reduction, among other relevant data.

On the other hand, commodity investors benefit from more reliable information for their investments and risk analysis concerning commodity trading.  In addition, rural credit institutions will have better conditions to assess risks and determine the respective rural credit collateral. And, still, in the context of 4G and future 5G telecom networks, these are complementary to satellite services.

The terrestrial dimension inherent to rural areas is complemented with the aerospace dimension. IoT (internet of things) networks are being used in rural areas to collect real-time data with agricultural information. Humidity, temperature, and biochemical sensor, and weather stations are equipment that optimizes rural productivity.  Of course, several precautions need to be taken to protect the farmers’ data. There are challenges, risks, and excellent opportunities regarding the use of geospatial intelligence in agriculture and livestock activities. 

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