Agriculture Industry Solutions | Statswork Tailored Services
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Agriculture Industry

Generate Scientific Evidence to drive Your Product development and CER Report Preparation.

At Statswork Research & Analytics Consulting, our research team is fully immersed in the medical device (both standalone & wearables). We have the sort of niche expertise with all classes (I, II, III) of medical devices (intended to be used in the diagnosis, prevention, monitoring, treatment, or alleviation of diseases) that can only come from decades of hands-on experience.
Our process ensures to follow the European Council Directive 93/42/EEC ; 90/385/EEC on active implantable devices and the European Council Directive 98/79/EC on in vitro diagnostic medical devices, wearable devices (HIPAA standards). We provide biomedical literature review services, primary data collection, data analytics, post-market surveillance CER Report Preparation and Thought Leadership Reports.
How We Help Clients

Medical Device Product Research

New product development methodology to assist the medical device industry in optimizing their processes and developing relevant solutions – Reviewing the Biomedical Literature & Primary Research

Statswork’s agricultural scientists explore the new or known chemical substances, determining their quantity, based on an evidence-based literature review process.
We also conduct surveys and interviews to identify customers’ needs and demands and translate them to design targets.

Education Technology Market Research

Market Research and Strategy Consulting Solutions to launch new products (e.g. Adaptive learning, augmented reality, digital textbooks, distance learning, differentiated learning)

• Assess the competitive landscape – Market assessment and competitive analysis.
• Market Opportunity, Entry and Sizing
• Usability Testing
• New Product Concept Testing
• Focus Groups
Youth Market Research

User Needs and Market Potential

We apply systematic review a) to identify the most effective and innovative design to solve the problem, b) to understand a user requirement that could be met with innovation to an existing device or a new device, c) to identify whether existing process or technologies already serve the market and d) to examine whether the proposed medical device performs better than existing devices that meet similar needs.

Real-time data collection from all agriculture stakeholders

In the ever-evolving landscape of modern agriculture, staying connected with all stakeholders is paramount for achieving sustainability and efficiency. Statswork Research & Analytics Consulting offers a comprehensive service that enables real-time data collection from all agriculture stakeholders, empowering farmers and industry players with invaluable insights and facilitating collaborative decision-making.

Data Annotation

Our agriculture data annotation experts work with unstructured, unpredictable, and highly dynamic environment data. Our agricultural scientists identify field images that are affected by foreign body, vehicle intrusion, animal invasions. Ripeness detection also been carried out through visual data annotation. Besides, detecting diseases in plants, pests, and poor plant nutrition on farms and label those using bounding boxes to process quality training data.

AI and ML Integration for Precision Farming

The fusion of Artificial Intelligence and Machine Learning is redefining agriculture. Statswork’s AI and ML expertise transforms farms into precision-driven operations. By incorporating data from sensors, drones, and satellite imagery, we help farmers optimize resource allocation, enhance pest management, and achieve unprecedented levels of precision.

Visualization, Meaningful Interpretation, and Reporting of your Agriculture data

Presenting the results in a clear and logical format to the client is the most important task. It should be tailored to address the aims and objectives of the survey, and at the same time, consideration should be given to the level of statistical understanding (terminologies) of the clients and users. Statswork transform raw data into a visual story by offering readable and technically acceptable report which balance words, tables, maps, and graphs.

Statistical Analyses: Precision in Decision-Making

Statistical analyses are the bedrock of informed decision-making in agriculture. By rigorously analyzing data, industry experts can identify trends, correlations, and patterns that guide planting schedules, irrigation strategies, and pest management. Through statistical tools, the agricultural sector maximizes output while minimizing risks and waste.

Data Science: Unveiling Insights from Complex Data Sets

Data science is a cornerstone in modern agriculture, enabling the extraction of actionable insights from vast and intricate data sets. By leveraging machine learning algorithms, predictive modeling, and clustering techniques, data science empowers farmers and agronomists to forecast crop yields, identify disease patterns, and optimize resource allocation. This predictive capability translates into improved productivity and efficient resource management.

Elevate Agricultural Thought Leadership with Statswork

In the dynamic landscape of the agriculture industry, being a thought leader is more than a position—it’s a catalyst for positive change and innovation. At Statswork, we understand the power of thought leadership in driving industry progress and shaping the future.
Feature Capabilities
annotation-services

Statswork Methodologies to conduct annotation services

At Statswork, our innovative methodologies drive transformative annotation services tailored specifically for the agriculture industry. We specialize in generating meticulously curated training data sets that fuel the power of machine learning. Our focus? To enhance agricultural practices by harnessing cutting-edge techniques such as semantic segmentation and polygon annotation.
Secondary-Data-Enrichment

Secondary Data Enrichment

Statswork’s secondary data collection services enrich your agricultural knowledge by tapping into existing scholarly databases, industry reports, and historical records. This wealth of information enhances your strategies, innovation, and decision-making
agriculture-dataset

Application of Annotating Principles in agriculture dataset

Our team of experts has developed standard methodology or guidelines to annotate agriculture data for a picture containing multiple or single objects or two overlapped instances or with multiple instances of the super-class. This methodology also considers other information including blurred instances in the background including size, blurriness, or occlusion.
Integrated-Insights-for-Agricultural-Excellence

Integrated Insights for Agricultural Excellence

Our featured capabilities seamlessly integrate data collection, advanced analysis, AI and ML modeling, and secondary research. This synergy empowers your agricultural endeavors with precision, innovation, and growth, elevating your competitive edge in the agricultural landscape.
AI-and-ML-Modeling-Mastery

AI and ML Modeling Mastery

With our AI and ML modeling prowess, we develop predictive algorithms using sensor data, satellite imagery, and historical trends. These models empower accurate yield predictions and resource allocation for sustainable growth.
Example of Our Work

Real Time Information on Crop Development

Uncontrolled growth of weeds has an impact on the crop quality and yield while at the same time usage of herbicides for removal of weeds alters biodiversity. The best solution is to identify weed-infested regions would enable industry to provide selective treatment of only those affected regions. For this, analysing farm images have resulted in solutions to detect weed plants.

Mark Location of Tomato disease Spot

Spot One of the client approached our team to identify the types and location of tomato diseases from the images provided by them. Our team of domain specific expert marked the area with a rectangular frame and shape of the disease spot with irregular polygons and subsequently labelled the type of disease spot.

Annotation of Plant Health-

At Statswork, we first classified images by presence or absence of any visible lesions on the image. This is followed by applied line annotation to identify whether the maize leaves are infected and subsequently classified images with infected versus noninfected leaves. We developed a hybrid, to annotate images. The performance of the existing hybrid algorithm was compared with the standard algorithm to ensure its accuracy.

Real Time Information on Crop Development

Our experts not only develop algorithms but also analyse their performance in comparison to standard algorithms through various metrics such as sensitivity specificity by plotting a receiver operating characteristics.

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+9187544 67066
UK
+44 161 394 0786
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+1-972-502-9262
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Statswork is a pioneer statistical consulting company providing full assistance to researchers and scholars. Statswork offers expert consulting assistance and enhancing researchers by our distinct statistical process and communication throughout the research process with us.

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