APP DASHBOARD
The smart farm mobile app for poultry disease prediction and identification is divided into different
parts based on the affected areas in the chicken as shown on the pictures .
APP DASHBOARD
The smart farm mobile app for poultry disease prediction and identification is divided into different
parts based on the affected areas in the chicken as shown on the pictures .
APP DASHBOARD
The smart farm mobile app for poultry disease prediction and identification is divided into different
parts based on the affected areas in the chicken as shown on the pictures .
Clinical Signs for Early Assessment
Early detection of poultry infections and diseases is crucial for preventing outbreaks and minimizing
economic losses. The Clinical Sign Selector interface provides a simple and efficient way for users to
pre-assess potential poultry infections by selecting the observed clinical signs in the region of interest.
The app's assessment results are presented in a bar chart format, with the highest bar indicating the
likely infection or disease type.
Based on the clinical signs selected, the Clinical Sign Selector app interface can provide an early
assessment of potential poultry infections or diseases. For instance, if respiratory signs are selected,
the app may indicate a likely infection with avian influenza or Newcastle disease. If digestive signs
are selected, the app may indicate a likely infection with salmonella or coccidiosis.
Clinical Signs for Early Assessment
Early detection of poultry infections and diseases is crucial for preventing outbreaks and minimizing
economic losses. The Clinical Sign Selector interface provides a simple and efficient way for users to
pre-assess potential poultry infections by selecting the observed clinical signs in the region of interest.
The app's assessment results are presented in a bar chart format, with the highest bar indicating the
likely infection or disease type.
Based on the clinical signs selected, the Clinical Sign Selector app interface can provide an early
assessment of potential poultry infections or diseases. For instance, if respiratory signs are selected,
the app may indicate a likely infection with avian influenza or Newcastle disease. If digestive signs
are selected, the app may indicate a likely infection with salmonella or coccidiosis.
Clinical Signs for Early Assessment
Early detection of poultry infections and diseases is crucial for preventing outbreaks and minimizing
economic losses. The Clinical Sign Selector interface provides a simple and efficient way for users to
pre-assess potential poultry infections by selecting the observed clinical signs in the region of interest.
The app's assessment results are presented in a bar chart format, with the highest bar indicating the
likely infection or disease type.
Based on the clinical signs selected, the Clinical Sign Selector app interface can provide an early
assessment of potential poultry infections or diseases. For instance, if respiratory signs are selected,
the app may indicate a likely infection with avian influenza or Newcastle disease. If digestive signs
are selected, the app may indicate a likely infection with salmonella or coccidiosis.
Comprehensive Disease Assessment:
The provided graph offers an overarching evaluation of detected diseases, categorized by disease type. Notably, cocci disease (bacterial infections) emerged as the most frequently identified, followed by Salmo disease (viral infections) and NCD disease (fungal infections). This valuable information equips farmers with insights to recognize potential disease risks, enabling them to proactively implement preventive measures to safeguard their birds.
Comprehensive Disease Assessment:
The provided graph offers an overarching evaluation of detected diseases, categorized by disease type. Notably, cocci disease (bacterial infections) emerged as the most frequently identified, followed by Salmo disease (viral infections) and NCD disease (fungal infections). This valuable information equips farmers with insights to recognize potential disease risks, enabling them to proactively implement preventive measures to safeguard their birds.
Comprehensive Disease Assessment:
The provided graph offers an overarching evaluation of detected diseases, categorized by disease type. Notably, cocci disease (bacterial infections) emerged as the most frequently identified, followed by Salmo disease (viral infections) and NCD disease (fungal infections). This valuable information equips farmers with insights to recognize potential disease risks, enabling them to proactively implement preventive measures to safeguard their birds.
Weekly Disease Detection Review:
Over the last five weeks of utilizing the application, the prevalent diseases detected each week (as shown on the graph ) are outlined below:
Week 10:
Predominant Disease: Cocci
Followed by: NCD (Non-Communicable Diseases) and Salmo diseases.
Week 11:
Predominant Disease: Cocci
Followed by: Salmo diseases.
Week 12:
Predominant Disease: Cocci
Followed by: Salmo diseases.
Week 13:
Predominant Disease: Cocci
Followed by: NCD (Non-Communicable Diseases) and Salmo diseases.
Week 14:
Predominant Disease: Cocci
Followed by: Salmo diseases.
This summary provides a clear breakdown of the predominant diseases identified each week, enhancing understanding and tracking of disease patterns.
Weekly Disease Detection Review:
Over the last five weeks of utilizing the application, the prevalent diseases detected each week (as shown on the graph ) are outlined below:
Week 10:
Predominant Disease: Cocci
Followed by: NCD (Non-Communicable Diseases) and Salmo diseases.
Week 11:
Predominant Disease: Cocci
Followed by: Salmo diseases.
Week 12:
Predominant Disease: Cocci
Followed by: Salmo diseases.
Week 13:
Predominant Disease: Cocci
Followed by: NCD (Non-Communicable Diseases) and Salmo diseases.
Week 14:
Predominant Disease: Cocci
Followed by: Salmo diseases.
This summary provides a clear breakdown of the predominant diseases identified each week, enhancing understanding and tracking of disease patterns.
Weekly Disease Detection Review:
Over the last five weeks of utilizing the application, the prevalent diseases detected each week (as shown on the graph ) are outlined below:
Week 10:
Predominant Disease: Cocci
Followed by: NCD (Non-Communicable Diseases) and Salmo diseases.
Week 11:
Predominant Disease: Cocci
Followed by: Salmo diseases.
Week 12:
Predominant Disease: Cocci
Followed by: Salmo diseases.
Week 13:
Predominant Disease: Cocci
Followed by: NCD (Non-Communicable Diseases) and Salmo diseases.
Week 14:
Predominant Disease: Cocci
Followed by: Salmo diseases.
This summary provides a clear breakdown of the predominant diseases identified each week, enhancing understanding and tracking of disease patterns.
Treatment of Detected Diseases
The application not only identifies and categorizes diseases but also provides comprehensive guidance on treating the identified conditions. For instance, if the app detects a salmonella infection in chickens, it suggests the following sequential steps for treatment:
This feature is particularly beneficial for farmers who may lack access to veterinary expertise or feel uncertain about addressing a detected disease. By furnishing systematic guidance on treatment choices, the app enables farmers to confidently take necessary measures to manage and mitigate the impact of disease outbreaks.
Treatment of Detected Diseases
The application not only identifies and categorizes diseases but also provides comprehensive guidance on treating the identified conditions. For instance, if the app detects a salmonella infection in chickens, it suggests the following sequential steps for treatment:
This feature is particularly beneficial for farmers who may lack access to veterinary expertise or feel uncertain about addressing a detected disease. By furnishing systematic guidance on treatment choices, the app enables farmers to confidently take necessary measures to manage and mitigate the impact of disease outbreaks.
Treatment of Detected Diseases
The application not only identifies and categorizes diseases but also provides comprehensive guidance on treating the identified conditions. For instance, if the app detects a salmonella infection in chickens, it suggests the following sequential steps for treatment:
This feature is particularly beneficial for farmers who may lack access to veterinary expertise or feel uncertain about addressing a detected disease. By furnishing systematic guidance on treatment choices, the app enables farmers to confidently take necessary measures to manage and mitigate the impact of disease outbreaks.
Advanced Solutions for Early Detection of Chicken and Plant Diseases to Save Your Farm
Helping Companies Profit
APP DASHBOARD
The smart farm mobile app interface for crop disease prediction and identification is designed to allowing users to choose their crop of interest as shown on the pictures .
APP DASHBOARD
The smart farm mobile app interface for crop disease prediction and identification is designed to allowing users to choose their crop of interest as shown on the pictures .
APP DASHBOARD
The smart farm mobile app interface for crop disease prediction and identification is designed to allowing users to choose their crop of interest as shown on the pictures .
APP GRAPH PANEL
With this panel, you will be able to review and gain the following insight:
1. Overall Assessment: the overall disease identification broken by disease type.
2. Weekly Review: for the last 4 to 5 weeks of using the app, you will gain insight of the predominant disease per week. For the weekly report to be activated, you must have used the app not less that 2 weeks and have internet connection.
3. This app also gives you opportunity to review the detected diseases for the past 4 to 5 weeks so that you can gain insight on the disease trend and the predominant disease per week.
APP GRAPH PANEL
With this panel, you will be able to review and gain the following insight:
1. Overall Assessment: the overall disease identification broken by disease type.
2. Weekly Review: for the last 4 to 5 weeks of using the app, you will gain insight of the predominant disease per week. For the weekly report to be activated, you must have used the app not less that 2 weeks and have internet connection.
3. This app also gives you opportunity to review the detected diseases for the past 4 to 5 weeks so that you can gain insight on the disease trend and the predominant disease per week.
APP GRAPH PANEL
With this panel, you will be able to review and gain the following insight:
1. Overall Assessment: the overall disease identification broken by disease type.
2. Weekly Review: for the last 4 to 5 weeks of using the app, you will gain insight of the predominant disease per week. For the weekly report to be activated, you must have used the app not less that 2 weeks and have internet connection.
3. This app also gives you opportunity to review the detected diseases for the past 4 to 5 weeks so that you can gain insight on the disease trend and the predominant disease per week.
Comprehensive Cassava Disease Assessment
The accompanying chart presents a comprehensive analysis of identified diseases, classified by type. Notably, cbb disease has emerged as the most frequently detected, followed by cgm disease, with cmd disease being the least prevalent. This insightful data empowers farmers by providing them with the means to recognize potential disease risks, allowing for proactive implementation of preventive measures to protect their crops.
The app focuses on the cassava disease below:
Cassava Brown Streak Disease (CBSD)
Cassava Mosaic Disease (CMD)
Cassava Bacterial Blight (CBB)
Cassava Green Mite (CGM) Infestation
Comprehensive Cassava Disease Assessment
The accompanying chart presents a comprehensive analysis of identified diseases, classified by type. Notably, cbb disease has emerged as the most frequently detected, followed by cgm disease, with cmd disease being the least prevalent. This insightful data empowers farmers by providing them with the means to recognize potential disease risks, allowing for proactive implementation of preventive measures to protect their crops.
The app focuses on the cassava disease below:
Cassava Brown Streak Disease (CBSD)
Cassava Mosaic Disease (CMD)
Cassava Bacterial Blight (CBB)
Cassava Green Mite (CGM) Infestation
Comprehensive Cassava Disease Assessment
The accompanying chart presents a comprehensive analysis of identified diseases, classified by type. Notably, cbb disease has emerged as the most frequently detected, followed by cgm disease, with cmd disease being the least prevalent. This insightful data empowers farmers by providing them with the means to recognize potential disease risks, allowing for proactive implementation of preventive measures to protect their crops.
The app focuses on the cassava disease below:
Cassava Brown Streak Disease (CBSD)
Cassava Mosaic Disease (CMD)
Cassava Bacterial Blight (CBB)
Cassava Green Mite (CGM) Infestation
Weekly Disease Detection Review
Over the past five weeks of utilizing the application, the prevalent diseases identified each week, as depicted on the graph, are summarized below:
Week 3:
Predominant Disease: Cassava Bacterial Blight (CBB)
Followed by: Cassava Green Mite (CGM) and Cassava Mosaic Disease (CMD).
Week 4:
Predominant Disease: Cassava Bacterial Blight (CBB)
Least Detected: Cassava Mosaic Disease (CMD).
Week 5:
Predominant Disease: Cassava Brown Streak Disease (CBSD)
Least Detected: Cassava Mosaic Disease (CMD).
Week 6:
Predominant Disease: Cassava Bacterial Blight (CBB)
Followed by: Cassava Green Mite (CGM)
Least Detected: Cassava Brown Streak Disease (CBSD).
To activate the weekly report, it is necessary to have used the app for a minimum of two weeks and maintain an internet connection. The app also offers the opportunity to review detected diseases over the past four to five weeks, allowing users to gain insights into disease trends and identify the predominant disease each week. The provided graph visually represents the weekly review report, offering a clear breakdown of the prevalent diseases and enhancing understanding of disease patterns.
Weekly Disease Detection Review
Over the past five weeks of utilizing the application, the prevalent diseases identified each week, as depicted on the graph, are summarized below:
Week 3:
Predominant Disease: Cassava Bacterial Blight (CBB)
Followed by: Cassava Green Mite (CGM) and Cassava Mosaic Disease (CMD).
Week 4:
Predominant Disease: Cassava Bacterial Blight (CBB)
Least Detected: Cassava Mosaic Disease (CMD).
Week 5:
Predominant Disease: Cassava Brown Streak Disease (CBSD)
Least Detected: Cassava Mosaic Disease (CMD).
Week 6:
Predominant Disease: Cassava Bacterial Blight (CBB)
Followed by: Cassava Green Mite (CGM)
Least Detected: Cassava Brown Streak Disease (CBSD).
To activate the weekly report, it is necessary to have used the app for a minimum of two weeks and maintain an internet connection. The app also offers the opportunity to review detected diseases over the past four to five weeks, allowing users to gain insights into disease trends and identify the predominant disease each week. The provided graph visually represents the weekly review report, offering a clear breakdown of the prevalent diseases and enhancing understanding of disease patterns.
Weekly Disease Detection Review
Over the past five weeks of utilizing the application, the prevalent diseases identified each week, as depicted on the graph, are summarized below:
Week 3:
Predominant Disease: Cassava Bacterial Blight (CBB)
Followed by: Cassava Green Mite (CGM) and Cassava Mosaic Disease (CMD).
Week 4:
Predominant Disease: Cassava Bacterial Blight (CBB)
Least Detected: Cassava Mosaic Disease (CMD).
Week 5:
Predominant Disease: Cassava Brown Streak Disease (CBSD)
Least Detected: Cassava Mosaic Disease (CMD).
Week 6:
Predominant Disease: Cassava Bacterial Blight (CBB)
Followed by: Cassava Green Mite (CGM)
Least Detected: Cassava Brown Streak Disease (CBSD).
To activate the weekly report, it is necessary to have used the app for a minimum of two weeks and maintain an internet connection. The app also offers the opportunity to review detected diseases over the past four to five weeks, allowing users to gain insights into disease trends and identify the predominant disease each week. The provided graph visually represents the weekly review report, offering a clear breakdown of the prevalent diseases and enhancing understanding of disease patterns.
Expertise to Conquer Every Goal
We created our company in 2017. The purpose is to provide new insights and strategies to our clients with their best interest at hand.
Welcome to Future Swipe Analytics, where cutting-edge technology meets agricultural expertise. Our innovative detection systems are designed to identify diseases in chickens and plants at the earliest stage, ensuring the health of your farm and the prosperity of your business.
About Us
Mission Statement: To provide farmers with reliable, efficient, and accessible disease detection technology that safeguards livestock and crops, ensuring sustainability and productivity.
Our Story: Founded by a team of passionate agricultural specialists and tech innovators, Future Swipe Analytics has been at the forefront of agricultural health solutions since 2020. With a commitment to excellence, we’ve developed systems that accurately detect diseases in chickens and plants, helping farmers around the world to prevent the spread of disease and reduce losses.
