iFarm: Development of cloud-based system of cultivation management for precision agriculture
Precision agriculture is aimed at optimizing farming management and it requires records of agricultural work. Farmers conventionally write records on paper but it is difficult and tedious to check past agricultural-work data and control the cost of agricultural products. A system of cultivation management, iFarm, is proposed, which was developed to support efficient farming management. The system consists of smartphone applications, Web browsers and a cloud server. Farmers on farmland can easily refer to work plans, enter field data into the cloud system, and share them with head office in real time by using smartphones. Farmers at head office can analyze data in the cloud system with a Web browser and estimate farming costs and form work plans based on their analyses.
A framework for performance evaluation of plucking activity in tea
Cultivation of tea is characterized by a number of activities spread over many months in which plucking is a major activity. In north-eastern and southern parts of India where tea is a major crop, plucking involves picking of two leaves and a bud with bare hands which after careful processing is converted into the tea beverage. However, no precise ways to characterize and quantify such activities have been developed. We propose a novel framework to characterize a tea-worker's plucking performance with the help of wrist-borne wearable systems. With a limited observation period in an uncontrolled environment for a tea-worker, our framework obtains (a) with a high accuracy the pluck-count which is directly associated with leaf-count and (b) other useful measures associated with related sub-activities. We believe this is a harbinger of change which will go a long way in improving the overall efficiency of the tea industry.
Application of Cloud Computation in the Agriculture
In the boom of cloud computing research and development at home and abroad,its application in agricultural sector was an urgent problem.On the base of the comprehensive understanding the concept of cloud computing,in this paper,the development status of cloud computing and cloud computing platform was analyzed.After the application of cloud in the agricultural sector,the private cloud computing test platform developed by the Liaoning Agriculture Academic Sciences Information Center were explained.