The agricultural Internet of Things technology applies sensors, wireless communication, cloud computing, and other technologies to agricultural production to supervise the entire process of agricultural production. For example, precise management of crops can be achieved by monitoring soil temperature, humidity, lighting, etc. through sensors.
Agricultural Big data realizes accurate management and decision support of agricultural production through data collection, analysis and mining of the whole process of agricultural production. For example, by analyzing meteorological, soil and crop data, predict the growth status of crops and the likelihood of disease and pest occurrence, and carry out prevention and control in advance.
Agricultural intelligent equipment achieves automated control and management of agricultural production through automation and intelligent technology. For example, through intelligent equipment such as seeders and harvesters, the automation of crop cultivation and harvesting can be achieved.
From agricultural Internet of Things technology, agricultural AI+Big data to the R&D and application of agricultural intelligent equipment, Digital transformation has become an important direction of agricultural industry development. So, what are the current opportunities and challenges of Digital transformation of agricultural industry? What is the future direction?
The special conference on Digital transformation of agricultural industry held at the same time of 2023 Digital Village and Smart Agriculture Expo will invite a group of experts and enterprises to discuss these issues.