Titlebook: Agricultural Internet of Things; Technologies and App Yong He,Pengcheng Nie,Fei Liu Book 2021 Springer Nature Switzerland AG 2021 Informati

Colonnade

Cytochrome P450 Structure and Functionnsing and recognition, comprehensive interconnection, and deeper integration and analysis are possible, thus bringing intelligent control and decision of plant factories. In this chapter, main components and types of plant factories are illustrated, and applications of IoT systems in plant factories

Glossy

Introduction of Agricultural IoT,and implementing devices to support need-specific operations, so that farmers can properly and promptly respond to the situation for improving yield and income. The adoption of Ag IoT can help farmers update their production from often low-efficiency traditional mode to a digital farming that is sup

債務(wù)

Agricultural IoT Standardization and System Applications,ation through a variety of sensors to help agricultural workers with the identification of problems. The adoption of agricultural IoT will transform agriculture from a human-dependent production mode into an information-based and software-centric production mode, involving the extensive use of vario

捕鯨魚叉

長(zhǎng)處

Soil Information Sensing Technology,cide residues, which significantly hinders crop growth and that in turn leads to losses in yield. It is therefore imperative to measure both the beneficial compositions (moisture and nutrients) and the detrimental compositions (heavy metals and pesticide residues) in soil to develop demand-specific

分散

Crop Information Sensing Technology, decision-making for production management. Supported by IoT technology, big data analysis, and digital detection, crop information sensing technologies have been advanced rapidly. Though the traditional chemical detection instruments could meet the requirement on the accuracy and sensitivity, these

愛得痛了

Field Condition Sensing Technology,mponents to IoT-based monitoring systems, have emerged and are continuing to emerge. Those sensors and networking components could help to achieve high sensitivity, improved adaptability, and enhanced reliability in monitoring field conditions for more efficient and productive agricultural productio