Abstract
The world population is growing and it is necessary to take advantage of agricultural natural resources. According to FAO studies, undernourishment is increasing in almost all sub-regions of Africa, as well as in South America. The situation worsens in countries whose agricultural systems are extremely sensitive to rainfall, temperature and droughts. On the other hand, contamination by pesticides and herbicides generates a series of environmental problems. In addition, the insects and parasites themselves develop more resistant species, which forces the use of higher doses or more effective products. Due to the rains and flooding of the fields, the chemicals are transmitted to the rivers, contaminating the water, vegetation, livestock and people. There are unmanned aerial vehicles known as drones to monitor fields, but they are expensive and require qualified personnel. In this work, a low-cost and reduced-size autonomous land vehicle (car) is designed to monitor fields. An electronic nose is mounted with 7 low consumption metal oxide semiconductor (MOS) gas sensors and batteries. The size and scope of the vehicle can be changed by modifying the structure of the car using a 3D printer, changing batteries and motors. Solar panels can also be added for extended use. The electronic nose weighs only 50 grams, has small dimensions, is low cost, has an embedded system and proprietary software. The software stores the data in memory, using artificial intelligence, different odors can be recognized in a field. In this way, a map of the monitored terrain is assembled and it can be fumigated in a controlled manner, selecting different doses as necessary. This system is expected to reduce environmental pollution and improve agricultural production.Key Words: Autonomous Vehicle, Agriculture, Electronic Nose, Data Analysis.
Published Version
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