Efficient Implementation of Modern Agriculture system by using IoT and AI Technologies

Fecha de publicación: 04/02/2022
Fuente: WIPO Agriculture Portada
There are several uses for IoT in agriculture. It can be seen as a precursor to the current agricultural practices that have emerged afterward. Lands suitable for farming can be improved by a factor of several hundred or thousand more. Internet of Things may do it by gathering data and information on many elements, such as temperature, wind speed, humidity, rainfall, soil content, and insect infestation. This data may be used as a foundation for several different farming methods. As a result of making informed judgments, qualitative and quantitative techniques can benefit. As a further benefit, the effort necessary to monitor crops can be reduced by limiting the different hazards and wastes. Farmers can monitor soil temperature and moisture content from afar and may use IoT-derived information or data for appropriate fertilization regimens as a result. Agriculture is enormously important to every one of us. Every farmer in the world wants to improve both the quality and quantity of their crops via cutting-edge technology, paving the way for a better quality of life for everyone. Agriculture is essential to the survival of the human race as a whole. A basic necessity for living. We've developed a system that may aid inefficient farming, which is a must in agriculture to accomplish this goal. Agriculture is crucial for one and everybody. The need for food products is rising, with the expanding population. It’s an Axiomatic declaration that relentless farmers of late are having deteriorated status of agricultural items due to farming. It seems strange that there is slow growth in the creation of technology in the agriculture sector that leads to pertinacious efforts resulting in qualitative and quantitative approaches. We have provided a system that ingress with the use of the newest technology, i.e., Internet of Things (IoT), in combination with Artificial Intelligence and Image Processing, compelling the agricultural in an effective method.