fieldWISE

Platform for Climate Smart Agriculture

An integrated agriculture platform equipped with a cutting-edge decision support system that leverages technologies like IoT, remote sensing, and AI/ML. fieldWISE emerges as the beacon of innovation, offering a comprehensive solution for climate resilient agriculture.

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Crop Models

GIS Powered Precision Agriculture Platform

Climate Smart Field Monitoring with High Quality Satellite Imagery and AI

fieldWISE empowers the agriculture ecosystem towards data-driven decisions to improve crop success rates by monitoring risks and identifying interventions in near real-time in the age of adverse climate change.

Farms produce thousands of data points on the ground daily. With the help of fieldWISE, we can now analyze a variety of things in real-time such as weather conditions, climatic risks, soil moisture, water usage, pests and diseases, crop health, and soil conditions. fieldWISE acts as one authoritative system that is scalable from the farm level to block, district, state, and country levels.

Food Security

Weather Smart

Production Focused

Farms Digitized
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Farmers Onboarded
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State Level Deployments
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GIS Powered Precision Agriculture Platform

Climate Smart Field Monitoring with High Quality Satellite Imagery and AI

fieldWISE empowers the agriculture ecosystem towards data-driven decisions to improve crop success rates by monitoring risks and identifying interventions in near real-time in the age of adverse climate change.

End-to-end digital platform for unified agriculture monitoring and management of agriculture operations with climate smart input and risk advisories at field level

From seeds to success

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Plug and Play Modules

A single window platform to monitor, predict, plan and manage water

Farm Boundary Detection

Utilizes AI on high-resolution satellite data to accurately map agricultural field borders.

Digital Owner-Plot Database

Organizes land ownership and plot details into a comprehensive digital repository.

Plot-wise Crop Map

Utilizes Remote Sensing and AI/ML to map specific crops grown on individual plots.

Crop Planning

Assists farmers in selecting suitable crops based on soil, weather, and market factors.

Crop Detection and Classification

Employ cutting-edge satellite image processing for precise crop type classification and distribution analysis.

Soil Health Card

Recommends nutrient corrections based on soil health card data.

Image-based Pest and Disease Diagnose

AI-based identification of crop pests and diseases for timely intervention.

Crop Yield Assessment

Systematically evaluates agricultural output and organizes farming activities for optimal productivity.

Harvesting Assessment

Monitors harvesting progress using satellite imagery for efficient yield management.

Extreme Event Warning and Management

Provides timely alerts and strategies for mitigating the impact of environmental extremes on agriculture.

Irrigation Planniing

Evaluates land suitability, weather patterns and capacity for irrigation to optimize water resource management.

GenAI Powered Advisories

Assists users through chat or voice-based queries on weather, pest/disease prediction, irrigation, market prices, and government schemes.

CURRENT JOB OPENING

Manager - Projects

We’re hiring a System Architect to design high-level structures of our IT projects and guide the development team during implementation.

Know your Field

Leverage GIS, AI-based boundary detection, and advanced ML algorithms for accurate farm boundary mapping, yield estimation, and real-time field weather updates. 

Grow More

Optimize field resources and improve your farm yield. Leverage advanced analytics to receive field-level advisory on crop selection, sowing, fertilizer use, and irrigation.

Monitor your Fields

Use integrated technology to monitor crucial farm parameters, including crop classification and monitoring, yield prediction, and harvest assessment.

Simplify Data Collection

A mobile app dedicated to field-level crop survey and information with location based automated field selection, featuring specialized interfaces for both farmers and surveyors.

Earn More

Maximize your field’s output with tailored insights on optimal harvest timing, market conditions, and access to a storage locator and connection service for enhanced profitability.

Protect Better

Proactively protect your field against pest, disease and extreme weather with timely alerts and recommendations based on weather, crop type and growth stage.

Assess your Risk

Receive reliable risk assessments for droughts, cyclones, floods, and field productivity to make informed decisions in financial investments and insurance.

Assess your Risk

Receive reliable risk assessments for droughts, cyclones, floods, and field productivity to make informed decisions in financial investments and insurance.

Assess your Risk

Receive reliable risk assessments for droughts, cyclones, floods, and field productivity to make informed decisions in financial investments and insurance.

Speak to fieldRISHI

Access instant updates, insights and alerts from the Gen-AI enbaled conversational chatbot that provides agriculture advisory from all integrated fieldWISE products

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LOCATION: HYDERABAD

JOB TYPE: FULL TIME

Summary

As a System Architect, you will be responsible for designing high-level structures for our complex IT systems, and guiding the development team during the implementation process. You should have a strong technical background and excellent IT project management skills.

Responsibilities:

Qualifications:

Benefits:

Health insurance

Paid time off

Bonuses and incentives

Apply For The Job

Please submit your resume and a brief cover letter explaining your interest in the role and your qualifications. We’re looking forward to learning more about you!
 

Manikanta

PREDICTIVE ANALYTICS FOR DROUGHT PREPAREDNESS: A GAME-CHANGER IN WATER MANAGEMENT

In the grand tapestry of existence, the journey of life unfolds through the lens of creativity, where each individual becomes an artist, contributing unique brushstrokes to the canvas of existence.

In today’s increasingly dynamic and uncertain world, the critical need for effective water management strategies cannot be overstated. As climate change and population growth continue to exert pressure on water resources, drought preparedness has emerged as a vital focus for governments, utilities, and communities globally. Predictive analytics is at the forefront of this revolution, offering groundbreaking solutions to anticipate, mitigate, and manage the impacts of droughts. This blog delves into how predictive analytics is reshaping drought preparedness and water management, highlighting its transformative potential and the key methodologies involved.

Understanding Predictive Analytics

Predictive analytics is an advanced form of data analysis that utilizes historical data, statistical algorithms, and machine learning techniques to make predictions about future outcomes. By identifying patterns in large datasets, predictive analytics can forecast events, trends, or behaviors with significant accuracy. This approach is not limited to any one industry but is particularly impactful in water management, where the ability to predict and prepare for drought conditions is crucial.

The Workflow:

  1. Data Collection: Gathering data from a variety of sources, including weather stations, satellite imagery, groundwater levels, and historical drought occurrences.
  2. Data Processing: Cleaning and organizing the data to remove anomalies and ensure quality.
  3. Modelling: Using machine learning models and statistical techniques to identify patterns and predict future drought events.
  4. Validation: Comparing predictions to actual outcomes to refine and improve the models.
  5. Deployment: Implementing the predictive models in real-time systems for ongoing monitoring and decision support .

The Importance of Drought Preparedness

Droughts can have devastating effects on agriculture, economies, ecosystems, and societies. Effective drought preparedness involves anticipating drought events before they occur and taking proactive measures to mitigate their impacts. This proactive approach can help ensure water availability, safeguard food security, and protect ecosystems.

Key Challenges in Drought Preparedness

  1. Uncertainty: The inherent unpredictability of weather patterns makes it challenging to accurately forecast drought events.
  2. Data Integration: Combining data from diverse sources, such as hydrological models, climate forecasts, and socio-economic indicators, is complex.
  3. Timeliness: Traditional forecasting methods may not provide timely enough warnings to implement effective mitigation strategies.

The Role of Predictive Analytics in Drought Preparedness

Predictive analytics addresses these challenges by leveraging advanced data analysis technologies to provide more accurate, timely, and actionable insights.

Real-Time Monitoring and Early Warning Systems

One of the most significant contributions of predictive analytics to drought preparedness is the development of real-time monitoring and early warning systems. These systems use a combination of satellite data, IoT sensors, and weather forecasts to continuously monitor water resources and environmental conditions. By analyzing this data, predictive models can detect early signs of drought and provide timely warnings to decision-makers.

Case Study: Space-based Predictive Analytics

Space-based predictive analytics involves using satellite observations to monitor water distribution dynamics and predict drought conditions. This approach provides high-resolution, frequently updated data that can be integrated with other data sources to create a comprehensive picture of water availability. For example, geospatial technologies enable the continuous monitoring of soil moisture levels, vegetation health, and surface water bodies, which are critical indicators of drought [citation:6][citation:8].

Scenario Analysis and Planning

Predictive analytics enables water managers to simulate various drought scenarios and assess the potential impacts on water resources, agriculture, and communities. By understanding the likely outcomes of different drought scenarios, decision-makers can develop more effective, data-driven strategies for water allocation, reservoir management, and agricultural planning.

Example: Predictive Maintenance of Water Infrastructure

Using sensor data and machine learning algorithms, predictive models can forecast the likelihood of infrastructure failures, such as leaks or pump malfunctions, under drought conditions. This predictive maintenance approach allows utilities to prioritize repairs and investments, ensuring critical infrastructure remains operational during droughts.

Risk Assessment and Mitigation

Predictive analytics supports comprehensive risk assessments by identifying areas and populations most vulnerable to drought. By analyzing historical drought data and socio-economic indicators, predictive models can highlight regions at high risk for water scarcity and food insecurity. This information is crucial for targeted intervention and resource allocation, such as pre-positioning water supplies, implementing water-saving technologies, and supporting drought-resistant agricultural practices.

Example: Predictive Modelling for Agricultural Drought

In agriculture, predictive analytics can forecast crop yields and assess the risk of crop failure due to drought. By integrating weather forecasts, soil data, and crop models, predictive analytics helps farmers make informed decisions about irrigation, planting schedules, and crop selection. This approach not only enhances agricultural productivity but also reduces the economic impact of drought on farming communities.

Enhancing Decision Support Systems

The integration of predictive analytics into decision support systems (DSS) enhances the efficiency and effectiveness of water management strategies. DSS platforms equipped with predictive analytics capabilities 

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