The use of mobile devices such as smartphones, tablets, smart watches and notebooks in the agriculture sector is gaining significant popularity. Through mobile technologies, farmers are aided to quickly and easily communicate, advertise goods and services, as well as accessing agronomic data in soft-real time. Though mobile devices are a good source of agronomic information access and dissemination, the over-dependence on wireless communication protocols for communication is a bit of a challenge. Due to the mobility of farmers, the wireless networks can experience bandwidth fluctuations and that can hamper data transfer and management in mobile-server (cloud) ecosystems. To address this issue, previous works propose mobile data storage to support information access in an offline mode. However, the question of how to efficiently management the data state on the mobile is under-studied. In this work, we proposed a mobile-cloud architecture that enables farmers to manage data transfer and storage of agronomic data on their mobile devices in the face of the network challenges. Three different P2P Key-Value Storage methodologies are presented which are: 1) Bloom Filters algorithm, 2) whole state data transfer, and 3) exchange of delta (updates) only. The whole state data transfer is only recommended when there is stable wireless connection.