9 Senior Agronomist Remote Sensing Data Analysis jobs in whatjobs
Senior Agronomist - Remote Sensing & Data Analysis
Posted 21 days ago
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Job Description
Responsibilities:
- Develop and implement methodologies for analyzing satellite imagery, drone data, and other geospatial information for agricultural applications.
- Process and interpret large datasets to identify crop health issues, growth patterns, and environmental factors.
- Utilize remote sensing techniques and software (e.g., ArcGIS, QGIS, ENVI, ERDAS Imagine) to extract meaningful agricultural insights.
- Develop predictive models for crop yield forecasting, disease detection, and resource management.
- Collaborate with agronomists, farmers, and researchers to translate data insights into actionable recommendations for improved farm management.
- Design and manage field data collection protocols to validate remote sensing data.
- Prepare comprehensive reports and presentations to communicate findings and recommendations to stakeholders.
- Stay abreast of the latest advancements in remote sensing technology, geospatial analysis, and agricultural science.
- Contribute to the development of innovative solutions for precision agriculture.
- Mentor junior team members and share expertise in geospatial data analysis.
- Master's or PhD in Agronomy, Agricultural Science, Geography, Remote Sensing, or a related field.
- Minimum of 5 years of experience in applying remote sensing and GIS techniques to agricultural challenges.
- Proven proficiency in analyzing satellite and aerial imagery (e.g., Sentinel, Landsat, Planet).
- Strong command of geospatial software (ArcGIS, QGIS) and image processing software (ENVI, ERDAS Imagine).
- Experience with statistical analysis and programming languages (e.g., Python, R) for data analysis.
- Solid understanding of agronomic principles and crop physiology.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with machine learning applications in remote sensing is a plus.
Senior Agronomist (Remote Sensing & Data Analysis)
Posted 21 days ago
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Job Description
Key Responsibilities:
- Utilize remote sensing data (satellite, aerial, drone imagery) to monitor crop health, growth stages, and stress factors.
- Conduct soil analysis and nutrient mapping using geospatial techniques.
- Develop and implement data-driven strategies for precision irrigation, fertilization, and pest management.
- Analyze large datasets using statistical software and machine learning algorithms to identify trends and patterns.
- Create detailed reports and visualizations of findings for farm managers and stakeholders.
- Recommend optimal planting, harvesting, and crop rotation strategies based on data analysis.
- Collaborate with research teams to design and execute field trials and experiments.
- Stay current with advancements in remote sensing technologies, GIS software, and agricultural science.
- Provide technical guidance and training on data interpretation and application for field operations.
- Ensure data accuracy, integrity, and security throughout the analysis process.
- Contribute to the development of predictive models for crop yield forecasting and risk assessment.
- Liaise with technology providers and research institutions to explore new tools and methodologies.
- Master's degree or Ph.D. in Agronomy, Soil Science, Agricultural Engineering, Geography, or a related field with a specialization in remote sensing/GIS.
- Minimum of 7 years of professional experience in agronomy, with a significant focus on applying remote sensing and data analysis techniques.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., Google Earth Engine, ERDAS IMAGINE).
- Experience with statistical analysis software (e.g., R, Python with libraries like Pandas, NumPy, SciPy).
- Knowledge of various crop physiology and soil science principles.
- Familiarity with drone operation and data acquisition is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex data clearly.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Experience in agricultural research or large-scale farm management is desirable.
Senior Agronomist (Remote Sensing & Data Analysis)
Posted 21 days ago
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Job Description
You will collaborate closely with a distributed team of agronomists, data scientists, and software engineers to develop and refine our client’s digital farming platform. Key responsibilities include interpreting complex datasets, generating comprehensive reports, and presenting findings clearly and concisely. The ability to translate technical data into practical, farm-level recommendations is essential. This is a fully remote position, offering the flexibility to work from anywhere. We are looking for a proactive individual with a passion for agricultural innovation and a proven track record in data-driven agronomy. If you are eager to contribute to the advancement of modern agriculture and thrive in a collaborative, remote-first environment, this opportunity in Kericho, Kericho, KE is ideal for you.
Qualifications:
- Master's degree in Agronomy, Agricultural Science, Soil Science, or a related field.
- 5+ years of experience in agronomy, with a focus on data analysis and remote sensing.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and image analysis tools.
- Experience with agricultural data platforms and sensor technologies.
- Strong understanding of crop physiology, soil science, and pest/disease management.
- Excellent analytical and problem-solving skills.
- Ability to interpret and present complex data effectively.
- Strong written and verbal communication skills for remote collaboration.
- Demonstrated ability to work independently and manage multiple projects in a remote setting.
Senior Agronomist - Remote Sensing & Data Analysis
Posted 17 days ago
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Job Description
Responsibilities:
- Analyze satellite imagery, aerial photography, and drone data for agricultural applications.
- Develop and implement remote sensing methodologies for crop health monitoring, land use mapping, and environmental assessment.
- Utilize GIS software (e.g., ArcGIS, QGIS) for spatial data processing, analysis, and visualization.
- Apply statistical methods and machine learning techniques to interpret large datasets and derive insights.
- Conduct field assessments and soil sampling to validate remote sensing data.
- Develop recommendations for optimizing crop management practices, including fertilization, irrigation, and pest control.
- Create detailed reports and presentations for clients, outlining findings and actionable recommendations.
- Collaborate with agronomists, researchers, and technology partners to advance agricultural innovation.
- Stay current with the latest advancements in remote sensing technology, precision agriculture, and data analytics.
- Manage projects and timelines effectively in a remote work environment.
- Contribute to the development of new tools and workflows for agricultural data analysis.
- Ensure the accuracy and integrity of all geospatial data and analytical results.
- Master's degree in Agronomy, Agricultural Science, Geography, Environmental Science, or a related field with a specialization in remote sensing/GIS.
- Minimum of 5 years of experience in applied remote sensing and GIS within the agricultural sector.
- Proficiency with GIS software (ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine).
- Experience with data analysis tools and programming languages (e.g., Python, R).
- Strong understanding of agronomic principles, crop physiology, and soil science.
- Familiarity with various satellite platforms (e.g., Sentinel, Landsat) and drone data acquisition and processing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex data.
- Proven ability to work independently and manage projects remotely.
- Experience with precision agriculture technologies is a plus.
- A reliable home office setup with high-speed internet is mandatory.
Senior Agronomist - Remote Sensing & Data Analysis
Posted 11 days ago
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Job Description
Responsibilities:
- Acquire, process, and analyze satellite and aerial imagery (e.g., Sentinel, Landsat, drone imagery) for agricultural applications.
- Develop and implement remote sensing methodologies for crop health monitoring, vegetation indexing, and land cover classification.
- Utilize GIS software (e.g., ArcGIS, QGIS) for spatial data management, analysis, and visualization.
- Interpret multispectral and hyperspectral data to identify crop stress, nutrient deficiencies, and disease outbreaks.
- Develop and validate crop yield prediction models using remote sensing and ground-truth data.
- Provide data-driven recommendations on precision agriculture techniques, including variable rate application of fertilizers and pesticides.
- Optimize irrigation strategies based on soil moisture data derived from remote sensing.
- Collaborate with farmers, agricultural researchers, and agronomists to integrate insights into practical farm management.
- Prepare detailed reports and presentations on findings and recommendations.
- Stay current with advancements in remote sensing technologies, GIS, and agricultural data analytics.
- Contribute to the development of new tools and platforms for agricultural data management and analysis.
- Ensure data quality and accuracy throughout the analysis process.
- Master's or Ph.D. in Agronomy, Soil Science, Remote Sensing, Geography, or a related agricultural science field.
- Minimum of 5-7 years of experience in agronomy with a specialization in remote sensing and GIS applications.
- Proven experience with processing and analyzing satellite and drone imagery using software like ERDAS Imagine, ENVI, or similar.
- Proficiency in GIS software (ArcGIS, QGIS) and spatial analysis techniques.
- Strong understanding of crop physiology, soil science, and pest/disease management.
- Experience with data analysis and statistical modeling, preferably using R, Python, or MATLAB.
- Familiarity with cloud platforms for data processing (e.g., Google Earth Engine).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
- Passion for agriculture and leveraging technology for sustainable practices.
Senior Agronomist - Remote Sensing & Data Analysis
Posted 6 days ago
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Job Description
Key Responsibilities:
- Utilize satellite imagery, drone data, and other remote sensing technologies to assess crop health, growth stages, and identify potential issues (e.g., disease, nutrient deficiencies, water stress).
- Develop and implement data analysis workflows for processing, interpreting, and visualizing geospatial agricultural data.
- Create detailed reports and recommendations for farmers, agronomists, and agricultural stakeholders based on remote sensing analysis.
- Integrate remote sensing data with other agricultural datasets (e.g., soil data, weather data, yield data) for comprehensive analysis.
- Monitor agricultural landscapes for changes, land use patterns, and environmental impacts.
- Collaborate with research teams, agronomists, and field personnel to validate findings and refine methodologies.
- Stay abreast of advancements in remote sensing technologies, GIS software, and agricultural data analytics.
- Contribute to the development of precision agriculture solutions and tools.
- Provide training and technical support to users on remote sensing applications in agriculture.
- Ensure the quality and accuracy of analyzed data and reported findings.
- Master's degree or PhD in Agronomy, Agricultural Science, Geosciences, Remote Sensing, or a related field.
- Minimum of 6 years of experience in agronomy, with a strong specialization in remote sensing and geospatial data analysis.
- Proven experience with satellite imagery processing (e.g., Landsat, Sentinel, Planet) and analysis platforms (e.g., Google Earth Engine, ENVI, ArcGIS).
- Proficiency in data analysis and statistical software (e.g., R, Python, MATLAB).
- Strong understanding of crop physiology, soil science, and plant pathology.
- Experience with GIS software and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently and manage multiple projects in a remote setting.
- A passion for sustainable agriculture and innovative solutions.
Senior Agronomist - Remote Sensing & Data Analysis
Posted 6 days ago
Job Viewed
Job Description
Responsibilities:
- Acquire, process, and analyze satellite imagery and aerial data for agricultural applications.
- Develop and implement remote sensing models for crop monitoring, yield prediction, and health assessment.
- Utilize GIS software and data analysis tools to interpret geospatial information.
- Provide data-driven recommendations for crop management, fertilization, and irrigation strategies.
- Collaborate with agricultural experts and stakeholders to integrate insights into farming practices.
- Develop reports and visualizations to communicate findings to diverse audiences.
- Conduct research on new remote sensing techniques and their application in agriculture.
- Assist in the development and deployment of precision agriculture solutions.
- Manage project timelines and deliverables for geospatial analysis projects.
- Ensure data quality and accuracy throughout the analysis process.
- Master's degree in Agronomy, Agriculture, Geography, or a related field with a focus on remote sensing/GIS.
- Minimum of 5 years of experience in agronomy, with a specialization in remote sensing and geospatial data analysis.
- Proficiency in GIS software (ArcGIS, QGIS) and remote sensing platforms.
- Strong programming skills in Python or R for data analysis and modeling.
- Solid understanding of agronomic principles and crop science.
- Experience in interpreting satellite imagery and producing actionable insights.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote setting.
- Familiarity with agricultural challenges in **Garissa, Garissa, KE** is beneficial but not required for this remote role.
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Senior Agronomist - Remote Sensing & Data Analysis
Posted 7 days ago
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Job Description
Key responsibilities include:
- Developing and implementing remote sensing strategies for agricultural monitoring and analysis.
- Processing and analyzing satellite imagery (e.g., Sentinel, Landsat) and drone-based data for crop health assessment, yield prediction, and soil analysis.
- Utilizing GIS software and data analytics tools to extract meaningful information from geospatial datasets.
- Translating complex data into practical recommendations for farmers and agricultural stakeholders.
- Conducting field validation studies to calibrate and verify remote sensing data.
- Researching and evaluating new technologies and methodologies in remote sensing and precision agriculture.
- Collaborating with cross-functional teams, including researchers, data scientists, and field agronomists.
- Preparing technical reports, presentations, and publications on findings and recommendations.
- Staying current with advancements in agricultural science, remote sensing, and data analytics.
- Contributing to the development of data-driven solutions for sustainable agriculture and climate resilience.
- Providing expert advice on crop physiology, soil science, and pest/disease management informed by data analysis.
Senior Agronomist (Remote Sensing & Data Analysis)
Posted today
Job Viewed
Job Description
Responsibilities:
- Utilize remote sensing data (e.g., satellite imagery, aerial photography, LiDAR) and GIS software to analyze crop conditions, soil health, and environmental factors.
- Develop and implement advanced analytical models for crop yield prediction, disease detection, and nutrient management.
- Process and interpret large datasets from various sources, including IoT sensors, weather stations, and farm management systems.
- Create detailed reports and visualizations to communicate findings and recommendations to farmers, agronomists, and stakeholders.
- Advise on best practices for data collection and management in agricultural settings.
- Collaborate with research and development teams to explore new technologies and methodologies in precision agriculture.
- Provide expert agronomic advice based on data analysis to optimize irrigation, fertilization, and pest control strategies.
- Stay abreast of the latest advancements in remote sensing technology, GIS, and agricultural data analytics.
- Develop training materials and conduct workshops for agricultural professionals on using data insights.
- Ensure the accuracy and integrity of all data collected and analyzed.
- Contribute to the development of innovative solutions for sustainable farming.
- Manage projects related to agricultural data analysis and remote sensing implementation.
- Master's or Ph.D. degree in Agronomy, Crop Science, Soil Science, Agricultural Engineering, or a related field.
- Minimum of 7 years of experience in agronomy with a significant focus on remote sensing, GIS, and data analysis.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ENVI, ERDAS Imagine).
- Strong experience with data analysis tools and programming languages such as R, Python, or MATLAB.
- Familiarity with various satellite data sources (e.g., Sentinel, Landsat) and image processing techniques.
- Knowledge of crop physiology, soil science, and plant pathology.
- Excellent analytical, statistical, and problem-solving skills.
- Ability to interpret complex data and translate it into practical, actionable insights.
- Strong written and verbal communication skills for report writing and presentations.
- Proven ability to work independently and manage multiple projects in a remote environment.
- Experience with agricultural drone technology and data acquisition is a plus.