Cloud Computing in Agriculture

Cloud Computing Technologies in Agriculture

Companies in the agriculture industry need not make their own solutions from scratch, they can use cloud systems. Cloud computing in agriculture is used to gather, analyze, and store data about agriculture. Cloud-connected wireless sensors collect data from the field using machine learning algorithms in real-time. Apart from the agriculture industry with huge plots of land, initiating development with service providers helps in the entire project. Osiz, the cloud computing company with experience in agriculture can always count on expertise in both cloud computing and agriculture.

Our Cloud Computing Applications in Agriculture

Cloud Computing in Automated Irrigation Systems
Our automated irrigation systems use predictive analysis, and real-time data on quality and state of soil and crop, generating tons of data and analyzing an equal amount to facilitate the automation of intensive farming tasks. A cloud-based automated agriculture solution uses an ethernet module to provide an interface for internet connection. Our solution automatically activates submersible pumps to release water supply as and when required.

Precision Agriculture
We provide precision agriculture to farming enabling farmers to improve their crop yields and optimize resource utilization. Our experts utilize next-generation technologies generating insightful data for farmers deciding which kind of crop to grow in different sections of agricultural land. Cloud-connected wireless sensors can capture and relay the relevant data from the field to machine learning applications on cloud servers.

Accessible Expert Consultation
With our expertise, you can easily get shared on a global level without additional efforts, helping the farmers resolve their queries without travel. We craft cloud computing technology for farmers as a private agriculture consulting firm with relatively quick response time, helping them implement the latest findings to their cultivation.

eCommerce Supply Chain Automation
Cloud computing not only enables farmers to sell their products directly to consumers through eCommerce. We offer cloud computing with precision farming planning by analyzing consumer data from eCommerce platforms. This helps farmers to find which crops are in high demand and optimize their supply chains for improved profitability.

Farmers' Information Collection
Our cloud computing solution farmers store data, including yield, crop type, and the assistance they require keeping the administration updated with accurate data. These solutions are responsible for maintaining food security and offer financial support to the farmers of the region, identifying the core agricultural areas and frame better strategies.

Crop and Soil Management
We offer cloud helping farmers on many levels by simply providing them the information for better yield and profitability. Our cloud-based APIs and services like weather forecasting help farmers plan their selection of crops and plan their cultivation and harvest time. We collect sample data and perform big data analysis on the same to share the relevant insights with farmers and gather their feedback to complete the research. 

Measurable Growth for Research
We implement cloud computing in agriculture, simply growing their crops in a controlled environment and monitor their performance at regular intervals. The data we generate is uploaded to the cloud for comparison and analysis with present growth patterns in similar profiles.

Benefits of Cloud Computing in Agriculture

• Data accessibility

• Global communication

• Economic benefits

• Improved food security

• Enhanced quality of cultivation

Osiz Expertise in Enterprise Cloud Computing Services in Agriculture

With 15+ years of experience in enterprise cloud computing service, we offer both expertise and experience in creating custom cloud solutions for a variety of industries. We develop agriculture software and application solutions enabling cloud services for industry use cases. We offer eCommerce supply chain management, soil and weather data analysis, automation in soil and irrigation management for businesses in the agriculture sector.