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Our mission "Resourceful Farmer,"

Welcome to EnviroAgri, our mission is to revolutionize agriculture through innovative envirotyping and spatial modeling techniques. We strive to address critical global challenges, including drought resilience, food security, and climate adaptation, by enhancing plant breeding practices. Heplying the farmer and breeders to better assess the drought patterns in the target environment.
Our commitment to sustainable development is at the heart of everything we do. We aim to contribute to the United Nations Sustainable Development Goals by:
Our consulting services, provided free of charge to farmers, aim to empower the agricultural community by leveraging our advanced agronomic platform. We offer comprehensive support in integrating the platform, training farmers and breeders to use advanced tools for improving crop yields and resource efficiency, and providing expert analysis of environmental and genotype performance data.

Consulting services

Please see the details below to learn more about our services and how we can help with your understanding of crop requirements and environment type. You can book appointments through our website or by contacting us by filing the form given below.
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Envirotyping

Envirotyping work involves collecting high-resolution environmental data from field trials, analyzing this data using advanced crop models to characterize stress conditions (e.g., severe drought, mild stress), and linking these conditions to genotype performance. This helps understand G × E interactions and identify traits that enhance yield stability.
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Spatial analysis

Spatial analysis involves examining the geographical distribution of environmental conditions and genotype performance across field trial sites. By mapping these variables, it identifies spatial patterns and correlations, helping to pinpoint specific areas where certain genotypes perform best under particular environmental stresses. This analysis aids in optimizing breeding strategies and managing crops more effectively.
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Drought Mapping

Drought mapping involves using spatial analysis and environmental data to visualize and monitor areas affected by drought conditions. It includes collecting data on soil moisture, precipitation, temperature, and vegetation health from various sources such as satellites and weather stations. This data is then analyzed and mapped to identify the severity and extent of drought, helping researchers and farmers make informed decisions about crop management, irrigation planning, and drought mitigation strategies.
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Agriculture Database System

We can help to Design an Agriculture Database System involves structuring a robust database capable of efficiently storing and managing diverse agricultural data. Key components include defining entities like farms, crops, livestock, weather data, equipment, and personnel, along with their relationships and attributes.

Projects

Regional climate assessment of precipitation and temperature in Southern Punjab (Pakistan) using SimCLIM climate model for different temporal scales.

Unbalanced climate during the last decades has created spatially alarming and destructive situations in the world. Anomalies in temperature and precipitation enhance the risks for crop production in large agricultural region (especially the Southern Punjab) of Pakistan. Detailed analysis of historic weather data (1980–2011) record helped in creating baseline data to compare with model projection (SimCLIM) for regional level. Ensemble of 40 GCMs used for climatic projections with greenhouse gas (GHG) representative concentration pathways (RCP-4.5, 6.0, 8.5) was selected on the baseline comparison and used for 2025 and 2050 climate projection. Uneven increase in precipitation and asymmetric increase in temperature extremes in future would also increase the risk associated with management of climatic uncertainties. Future climate projection will enable us for better risk management decisions.

Targeted sectors: Sustainable Agriculture, Food security, Climate policy, future water management, protection of agriculture land.

Simulated CSM-CROPGRO-cotton yield under projected future climate by SimCLIM for southern Punjab, Pakistan

Climate change is widely affecting the agriculture sector in Pakistan with an estimated annual loss of up to 16 billion dollars by the end of 21st century (GOP, 2015). Southern Punjab is famous for producing more cotton than the entire province of Sindh in Pakistan but here the climatic variations largely affect the cotton production. The present research was carried out in Vehari, an arid area of Southern Punjab, Pakistan, to determine the intensity of the climatic impacts on the projected agricultural production of cotton in southern Punjab for 2025 and 2050 using SimCLIM(climate model) with CSM (crop simulation model)-CROPGRO-Cotton by comparing with observed data (2013 and 2014).
Targeted sectors: Sustainable Agriculture, Food security, Climate policy, future water management, protection of agriculture land.

Future risk assessment by estimating historical heat wave trends with projected heat accumulation using SimCLIM climate model in Pakistan

Climate change has adverse effects at global, regional and local level. Heat wave events have serious contribution for global warming and natural hazards in Pakistan. Historical (1997–2015) heat wave were analyzed over different provinces (Punjab, Sindh and Baluchistan) of Pakistan to identify the maximum temperature trend. According to model projection; future trend of annual heat accumulation, in 2030 was increased 17%, 26%, and 32% but for 2060 the trends were reported by 54%, 49%, and 86% for 2090 showed highest upto 62%, 75%, and 140% for RCP-4.5, RCP-6.0, and RCP-8.5, respectively. Heat accumulation in monsoon may affect the agricultural activities in the region under study.
Targeted sectors: Sustainable Agriculture, Heatwave, Climate policy, future water management, protection of agriculture land.

Meet our team

Our friendly staff will be available to assist with any queries or to answer any questions you may have.
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Dr Asad Amin

Consultant

Testimonials

"We've seen measurable improvements in our land management strategies since partnering with EnviroAgri. Their envirotyping solutions have empowered us to make informed decisions that positively impact our natural resources."

Jessica Green

Conservationist
"Choosing EnviroAgri was the best decision for our urban planning project. Their GIS expertise provided clear visualizations and actionable insights, ensuring our development plans were both sustainable and community-focused."

David Lee

Urban Planner
"As a researcher, I rely on accurate data for my climate change studies. EnviroAgri delivered comprehensive spatial analysis that supported my research findings, contributing to impactful scientific publications."

Dr. Sarah Thompson

Research Scientist
"We've partnered withEnviroAgri for several years now, and their dedication to precision agriculture is unmatched. Their envirotyping solutions have significantly enhanced our farm's efficiency and profitability."

Michael Johnson

Farm Owner
"Working with EnviroAgri has been a game-changer for our agricultural projects. Their expertise in envirotyping and spatial analysis helped us pinpoint optimal planting zones and maximize crop yields. Highly recommend their services!"

John Smith

Agricultural Manager

Frequently Asked Questions

Envirotyping is the characterization of environmental variables that affect plant growth and development. It helps in understanding how different environments influence crop performance and can optimize breeding and management strategies.

Spatial analysis integrates geographical data to analyze patterns and relationships. It helps in optimizing resource allocation, identifying environmental risks, and making informed decisions in land use planning and natural resource management.

Data may include climate data (temperature, precipitation), soil characteristics, topography (elevation, slope), land use/land cover, remote sensing data (satellite imagery), and genetic information (for genotype-environment interaction studies).

Yes, these techniques enable precision agriculture by providing detailed information about soil variability, microclimates, and crop performance across fields. This helps in optimizing inputs like fertilizer and irrigation.

Envirotyping identifies environmental factors that affect crop performance, allowing breeders to develop varieties that are better adapted to specific regions or under certain conditions, thereby improving yield stability and resilience.

Common tools include Geographic Information Systems (GIS) software (e.g., ArcGIS, QGIS), statistical software (e.g., R, SAS), and specialized crop modeling software (e.g., APSIM, DSSAT).

Contact Us

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Address

Brisbane, Australia