Sensors and digital technology allow farmers to better understand the condition of farmland and crops. Proper use of these collected data can greatly increase crop yields and efficiency. Focusing on the interaction between various agricultural tools and sensor technologies can enable significant progress in agricultural practices.
For example, agricultural sensors can be used to monitor the health status of crops, weeds, microorganisms and pests, yield estimation and forecast, equivalent to wearable devices in the air and soil , Deploy IoT sensors to crops and establish sensor networks.
IoT sensors can be deployed on the ground or in the water to collect data on related targets, such as soil moisture and crop health. The collected data is stored wirelessly in a server or cloud system, and farmers can easily access the data through the Internet on tablets and mobile phones.
An advanced sensor monitoring system should provide real-time feedback on temperature, humidity, light, soil pH, precipitation, irrigation time and other conditions. The system should be able to determine the key elements that affect crop growth in a timely manner. With a cognitive system based on cloud computing services, it can learn from cases around the world in real time, so as to provide better solutions and suggestions for how to take care of crops in each season to obtain better benefits.
At present, in addition to serious financial constraints and ungrounded equipment in my country’s smart agriculture, the lack of agricultural sensors is also a real dilemma. This problem requires agricultural technology companies to provide practical solution. For example, the development of smart agriculture is inseparable from smart agricultural machinery. my country's agricultural machinery companies should use big data as the brains of agricultural machinery decision-making, and strive to develop smart agricultural machinery with many functions such as query, scheduling, positioning, measurement, calculation, and management.
In May this year, Zhao Chunjiang, academician of the Chinese Academy of Engineering and director of the National Agricultural Information Engineering Technology Research Center, mentioned in the "2019 Smart Agriculture Youth Academic Seminar" that smart agriculture will be The key development tasks of the company will focus on the research and development of agricultural sensors with independent intellectual property rights, the development of large-load agricultural drone plant protection systems, the development of smart tractors, the development of agricultural robots, the solution of agricultural big data sources, and the development of agricultural artificial intelligence.
At present, many domestic enterprises are looking for new business opportunities in the application field of agricultural Internet of Things. They are developing an integrated system that combines sensors and communication systems. IoT sensors and cloud computing will greatly improve the quality of data streams, which in turn will help farmers make better decisions.