1 Agriculture jobs in Ruiru
Remote Precision Agriculture Specialist - Farm Data Analyst
01017 Witeithie
KES80000 month
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Job Description
Our client is seeking a highly skilled Remote Precision Agriculture Specialist to join their innovative agricultural technology team. This fully remote role focuses on leveraging data analytics and advanced technologies to enhance farm management and optimize resource utilization for farmers in the Thika region and beyond. You will be instrumental in translating complex data into actionable insights that drive efficiency and profitability.
Key Responsibilities:
Key Responsibilities:
- Analyze agricultural data from various sources, including IoT sensors, drones, satellite imagery, and farm equipment.
- Develop and implement precision farming strategies to optimize irrigation, fertilization, and pest management.
- Create detailed farm maps and yield prediction models using geospatial analysis tools.
- Provide data-driven recommendations to farmers on planting dates, seed selection, and cultivation practices.
- Monitor crop health and environmental conditions remotely, identifying potential issues and suggesting timely interventions.
- Evaluate and recommend appropriate agricultural technologies and software for precision farming.
- Collaborate with farmers and agronomists to understand their specific needs and challenges.
- Develop reports and visualizations to communicate findings and recommendations clearly.
- Stay updated on the latest advancements in precision agriculture, data science, and agricultural technology.
- Assist in the development and testing of new precision agriculture tools and platforms.
- Ensure data accuracy, integrity, and security throughout the analysis process.
- Train clients on the use of precision agriculture tools and software.
- Bachelor's or Master's degree in Agricultural Engineering, Agronomy, Data Science, Geospatial Information Systems (GIS), or a related field.
- Minimum of 3 years of experience in precision agriculture, data analysis, or a related role within the agricultural sector.
- Strong proficiency in data analysis software (e.g., R, Python) and GIS software (e.g., ArcGIS, QGIS).
- Experience with farm management software and precision agriculture technologies.
- Solid understanding of crop physiology, soil science, and agronomic principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to interpret complex datasets and translate them into practical recommendations.
- Strong written and verbal communication skills for effective client interaction and reporting.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Familiarity with drone data processing and analysis is a significant advantage.
- Passion for leveraging technology to improve agricultural sustainability and productivity.
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