In this paper, introduction presents the problem statement. The second chapter gives a brief description of the Smart Farming system. The third chapter provides an overview of ontologies. The fourth chapter describes implementation of the knowledge base in the Smart Farming system. The fifth chapter presents the main functions of the ontology editor for working with the knowledge base. Conclusions and prospects of further development of knowledge base in crop production are also given
Based on GIS technologies, a decision support system (GIDSS) has been developed to remediate agricultural lands in the Bryansk region (Russia) contaminated by 137Cs after the accident at the Chernobyl nuclear power plant. GIDSS is a multilevel system consisting of...
This study examines the effectiveness of mobile as a novel approach for providing targeted and equitable agri-advisory services to farmers at scale. A cross-sectional survey of farmers registered on CABI's Direct2Farm (D2F) user database was undertaken using a combination of...
China is characterized as ‘a large country with many smallholder farmers’ whose participation in modern agriculture is key to the country’s modern agriculture development. Promoting smallholder farmers’ adoption of modern agricultural production technology is one effective way to improve the...
This paper, presented at "Food 360°: International Conference-cum-Exhibition on Agribusiness and Food Processing, November 05-06, 2012, Hotel Taj Krishna, Hyderabad", focuses on Indian agriculture, which remains the most important sector for India. However, despite its importance, various indicators from the sector show that...
Agricultural transformation is one of the important factors of rural planning and sustainable land management. There are natural and man-made reasons of this transformation, which brings both positive and negative impacts on the physical environment, food security, and human livelihoods....
