AI in Agriculture

Course

Combine emerging technologies in AI & tackle real-world challenges in crop, livestock, weather, & water management

ENROLL

Join students from top institutions

The Current Reality

Our food supply is on the line. Climate change is making weather patterns erratic, threatening our crops. Population is soaring, but our resources are dwindling. We've reached a critical point where action is not optional—it's necessary.

The Dilemma

From unpredictable weather patterns to persistent pests and unsustainable farming practices, the clock is ticking on an industry ripe for disruption

Imagine diagnosing soil nutrient levels through a real-time AI chat or identifying crop diseases using Machine Learning. Picture predictive analytics for optimal crop yields and water management, all backed by LangChain and Large Language Models (LLMs). In livestock, envision automated counting and health monitoring powered by Computer Vision. Our AI in Agriculture course makes this new agricultural landscape not just possible, but actionable.

The Solution

Enter AI in Agriculture

Course

This course provides essential skills to leverage AI for agricultural challenges, catering to agritech entrepreneurs, scientists, students, and tech-forward farmers, offering practical insights and hands-on innovation.

Combine emerging technologies in AI & tackle real-world challenges in crop, weather, & water management

Check out what you will learn in this course:

Module 1: Welcome to the Course
Module 2: Emerging Technology in Agriculture
- Emerging Technologies
- Problems in Agriculture
- Goal of using AI in AgricultureModule 2: Emerging Technology in Agriculture
Module 3: Crop-Related Applications
- Nutrient Deficiency Detection
- Plant Species Recognition
- Crop Disease Identification
- Soil Quality Analysis
- Predictive Analytics for Crop Yield
- AI in Precision Farming
Module 4: Weather Related Application
- Weather Prediction Model (Machine Learning, LangChain, LLMs)
- Weather based pest prediction.
- Heat stress mitigation.
Module 5: Water-Related Applications
- Water Quality Assessment
- Irrigation Optimisation
- Drought Impact Prediction
Module 6: LiveStock-Related Applications
- Automated Livestock (Pig) Counting
- Fish Farming Monitoring
- Automated Cattle Monitoring and Health Assessment

Enroll

Curriculum

Module 1

Getting Warmed Up

Welcome to the Course
Course Overview
How to get Help
Benefits and Certificates

Module 2

Emerging Technology in Agriculture

Tools for Agriculture
- Computer Vision
- Machine Learning
- Large Language Models (LLMs)
- Internet Of Things (IoT)
- Machine Learning
Problems in Agriculture
Goal of using AI in Agriculture

Module 3

Crop-Related Applications

Nutrient Deficiency Detection
Plant Species Recognition
Crop Disease Identification
Soil Quality Analysis
Predictive Analytics for Crop Yield
AI in Precision Farming

Module 4

Weather-Related Applications

Weather Prediction Model
Weather based pest prediction
Heat stress mitigation.

Module 5

Water-Related Applications

Water Quality Assessment
Irrigation Optimization
Drought Impact Prediction

Module 6

LiveStock-Related Applications

Automated Livestock (Pig) Counting
Fish Farming Monitoring
Automated Cattle Monitoring and Health Assessment

Our Applications

AI in Precision Farming

Our cutting-edge project combines Dashboard Development, Machine Learning, LangChain, and Large Language Models (LLMs) to create an AI system. This system utilizes real-time data to provide farmers with precise insights, enabling data-driven farming decisions for increased productivity and sustainability.

Weather Prediction Model

Using Machine Learning, LangChain, and Large Language Models (LLMs) to develop a weather prediction model. This tool aids farmers in planning activities by providing accurate local weather forecasts, supporting informed decisions for optimal agricultural practices.

Soil Quality Analysis

This project allows quickly and efficiently generating SEO-optimized content, leveraging ChatGPT for content creation & Streamlit for its user interface, & is invaluable for content SEO marketing teams.

Crop Disease Identification

Employing Computer Vision, Machine Learning, LangChain, and LLMs, our project swiftly and accurately identifies crop diseases from images. This empowers farmers with essential information for targeted treatment, bolstering crop health and agricultural sustainability.

Heat stress mitigation

Leveraging Machine Learning and Large Language Models (LLMs), we create a system that alerts farmers to heat stress in livestock and provides effective mitigation strategies. Enhancing animal welfare and farm productivity, our technology ensures healthier and more sustainable farming practices.

Drought Impact Prediction

Our project utilizes Machine Learning and LangChain technology to build a model that forecasts drought's effects on crop yields using weather and soil data. Empowering farmers with early insights, it aids in resource allocation and decision-making for more resilient agriculture.

Weather based pest prediction

Our project, powered by Machine Learning and Large Language Models (LLMs), creates a model for forecasting pest infestations based on weather patterns. This invaluable tool equips farmers with early warnings, enabling proactive pest management strategies to protect crops.

Nutrient Deficiency Detection

Employing Computer Vision and Machine Learning, our project employs image analysis to spot nutrient deficiencies in crops, offering precise treatment recommendations. Enhancing agricultural efficiency, it assists farmers in maintaining healthy and high-yielding crops.

Predictable Crop Yield

Leveraging Machine Learning, LangChain, and Large Language Models (LLMs), our project develops a model to predict crop yields. By analyzing historical data and current conditions, it empowers farmers with accurate forecasts, enabling informed decisions and optimizing agricultural productivity.

Water Quality Assessment

We've crafted a Machine Learning model to evaluate water quality for irrigation, considering diverse parameters. This tool ensures efficient and sustainable water usage in agriculture, safeguarding crop health and yields.

Plant Species Recognition

Leveraging Computer Vision and Large Language Models (LLMs), our project excels at identifying plant species from images. This aids biodiversity studies, enhancing our understanding of ecosystems and supporting conservation efforts.

Irrigation Optimization

Our project, employing Simulation, Machine Learning, LangChain, and Large Language Models (LLMs), pioneers an irrigation optimization system. By analyzing soil and weather data, it tailors irrigation schedules, conserving water and enhancing crop health for more efficient and sustainable farming practices.

Automated Pig Counting

Utilizing Computer Vision, Streamlit, and Large Language Models (LLMs), our project automates the counting of pigs in livestock facilities. This innovative solution enhances efficiency and accuracy in farm management, ensuring precise livestock inventory tracking and streamlined operations.

Fish Farming Monitoring

Employing Computer Vision, Streamlit, Blockchain, and Large Language Models (LLMs), our project revolutionizes fish farming management. It provides real-time monitoring and data analysis for optimal fish health and production. This technology enhances transparency and traceability in the industry, ensuring sustainable and high-quality seafood production.

Automated Cattle Monitoring

Combining Computer Vision, Large Language Models (LLMs), and Streamlit, our project introduces automated monitoring and health assessment for cattle. This technology ensures real-time cattle well-being tracking, facilitating prompt interventions and improving overall herd management efficiency.

50 Hours+ Content

Code + Datasets

Beginner Friendly

Lifetime Access

Enroll

What do industry leaders say about our program?

Constantin Shafranski

Data Scientist at Cognyte

As someone who has not yet dealt with image segmentation, I found this course to be quite helpful. It emphasizes the background theory appropriately, which I believe is quite crucial to get some idea of the topic and not "dive" straight into the coding part without actually understanding how things should operate. In addition, the course is designed in such a way that even someone who is not an expert AI coder may follow along without wondering "what the F* is going on here?". The instructions are clear, and the information is well-organized. A lot of the information regarding the entire process of building and preprocessing a custom dataset is also applicable to a variety of different tasks in the image domain, thus the course is also a very valuable source of reference.

GitHub

Christopher Berry

Data Scientist at Alfred Health

You won't find courses with higher quality, I’ve done countless online courses from many different platforms and individuals but the courses produced by Ritesh and Augmented Startups are the best Computer Vision courses you’ll find. Their project ideas are extremely innovative, and they’re always implementing the latest state-of-the-art algorithms, so it’s no surprise that their models achieve elite results. My favorite project was the Heart Rate Detection and which achieved amazing FPS which is a testament to the quality of their code. I just enrolled in their YOLO+ course and I look forward to enrolling in future courses their team creates too.

Thank you, Ritesh, and Augmented Startups, all the best 😊

Chris

Emmanuel Oluga

Medical Design Innovations Lab at UTSA

Ritesh is truly one of the most Intelligent and resourceful Individuals I have ever met and collaborated on activities with. He is always enthusiastic about taking on challenges and providing actionable and effective solutions, whether it be in the field of Computer Vision, graphics, and Machine learning for practical applications or it is in any other field where an innovative approach to problem-solving is Indispensable. Most impressive and inspirational are his Communication, Interpersonal, and leadership skills that accentuate his technical expertise in the fields of Al and ML for Machine vision applications. These qualitative and quantitative skills and traits he possesses, position him well to thrive in any endeavor and environment.

What's Included?

One-on-one Personal Coaching

Exclusive to the Elite Plan: Get 2 private coaching sessions or mentorship with Ritesh Kanjee, a leading expert in computer vision, each 15 minutes long.

Access to Private Inner Circle

You get access to a private online and Whatsapp community where you can network with other students and industry professionals. Ask questions and get feedback on your projects.

Monthly A.I. Challenges

Gain new skills in our Inner Circle with additional monthly projects & challenges that provide hands-on experience applying your A.I. knowledge in creative ways, expanding your expertise beyond the course material.

VIP Tech Support - Fast Assistance

Get fast and reliable technical assistance with VIP Tech Support. Our expert technicians are available 24/7 to solve any issues, ensuring that your code runs smoothly and hassle-free.

Computer Vision Internship Opportunities

Augmented Startups offers internships and apprenticeships to launch your career in AI. Gain hands-on experience and real-world skills to succeed in this growing industry.

[Bonus 1] ChatGPT Prompt Engineering Course

Join the ChatGPT revolution and become an expert prompt engineer with our cutting-edge course. Learn to generate natural language text and automate tasks using AI.

Bonus 1

Object Detection Bundle

Computer Vision Traffic Monitoring Dashboard Course

Orginal Value [$299]

Build a Full-Stack Deployable Traffic Analytics Dashboard from Scratch using YOLOX

Module 1: Object Detection
Master YOLOX for object detection through an in-depth paper review, understanding its loss function, and key metrics like IoU and mAP. Learn to apply YOLOX on images/videos and perform live inference.
Module 2: Training Custom YOLOX
Understand the basic building blocks for data collection and augmentation, dataset health, tuning training parameters, and model performance analysis. Speed up annotation with active learning.
Module 3:YOLOX + Tracking
Dive into Object Tracking Basics through a blend of cutting-edge SOTA exploration, paper reviews, and hands-on implementations. Master Multi-Object Tracking (MOT) and learn how to seamlessly integrate YOLOX with SORT.
Module 4: YOLOX + Tracking
Learn practical applications of object tracking: Detect and track vehicles, count and sort them, identify direction trajectories, and calculate speed—all in real-time using a LIVE RTSP camera.
Module 5: Traffic Flow Dash App
Master dashboard creation with Plotly Dash, from UI planning and visualizations to integrating YOLOX and tracking data. Learn layout design, styling, and deploy your solution.

Bonus 2

YOLOv7

Computer Vision Pro Course

Original Price [$299]

Become a YOLOv7 Object Detection Pro Specialist in just 4 Weeks.

Introduction
YOLOv7 & Research Paper Review
Training
Custom YOLOv7
YOLOv7 + Tracking intro
Multi-Object Tracking and Integration
YOLOv7 Conversion
Pytorch, ONNX, OpenVINO, TensorRT
Flask Integration
Integration with Yolov7
Applications
Security with Dashboard, Mining Safety Check, Retail Heat Maps, Agriculture Count Fruit, Traffic, Vehicle Counting, License Plate Recognition, Gaming Aimbot, Whiteboard Drawings generation.
Pose Estimation
Pose Estimation Basics with Push-up Counting, Bicep Curl Application, Yoga Pose Identification & Fall Detection
Object Segmentation
Installation of Conda, Running it on Google Colab, Dataset Collection, Annotation and using Roboflow for Dataset Augmentation, Running the model

Bonus 3

YOLOR/v7 StreamLit Dashboard Application

Use YOLOR with DeepSORT and YOLOv7 with ByteTrack and then combine it with StreamLit, so that you have an interactive Computer Vision Dashboard.

Bonus 4

StreetStat Application with Kivy | YOLOv8

An advanced object detection algorithm, to provide real-time statistics and insights about traffic and presenting it in Graph format

Certification

Once you complete the course, you will graduate with an Official Certificate embedded with a unique ID that you can share on LinkedIn.

Your Instructor

Ritesh Kanjee

110k+ Subscribers YouTube

71k Students Augmented Startups

M(Eng.) Electronic University of Joburg

31k+ Followers LinkedIn

Pricing

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AI in Agriculture Nano Course

$49

PREVIEW

[Module 1]
Welcome to the Course
[Module 2]
Emerging Technology in Agriculture
- Why AI in Agriculture is Crucial
- Understanding Al and Its Subsets
- Problems AI solves in Agriculture
- Goals and Applications
- Considerations and Future Outlook
[Module 3]
Crop-Related
- Crop Disease Identification [Available]
- Plant Species Recognition [Available]

LIFETIME ACCESS to AI in Agriculture Nano

Discord & Facebook Community

Order for $49 Once Off

AI in Agriculture Mini Course

$199

ONCE OFF

[Module 1]
Welcome to the Course
[Module 2]
Emerging Technology in Agriculture
- Why AI in Agriculture is Crucial
- Understanding Al and Its Subsets
- Problems AI solves in Agriculture
- Goals and Applications
- Considerations and Future Outlook
[Module 3]
Crop-Related
- Crop Disease Identification [Available]
- Nutrient Deficiency Detection [Available]
- Plant Species Recognition [Available]
- Soil Quality Analysis [Available]
- Predictive Analytics for Crop Yield [Available]
- AI in Precision Farming [Available]

LIFETIME ACCESS to AI in Agriculture Mini

ACCESS Anywhere, Anytime on the Web or through the Kajabi app (iOS & Android)

WhatsApp, Discord & Facebook Community

Order For $199 Once Off

AI in Agriculture PRO Course

$299

ONCE OFF

[Module 1]
Welcome to the Course
[Module 2]
Emerging Technology in Agriculture
- Why AI in Agriculture is Crucial
- Understanding Al and Its Subsets
- Problems AI solves in Agriculture
- Goals and Applications
- Considerations and Future Outlook
[Module 3]
Crop-Related
- Crop Disease Identification [Available]
- Nutrient Deficiency Detection [Available]
- Plant Species Recognition [Available]
- Soil Quality Analysis [Available]
- Predictive Analytics for Crop Yield [Available]
- AI in Precision Farming [Available]
[Module 4]
Weather Related
- Weather Prediction Model [Available]
- Weather based pest prediction. [Available]
- Weather Dashboard. [Available]
[Module 5]
Water-Related
- Water Quality Assessment [Available]
- Irrigation Optimisation [Available]
- Drought Impact Prediction [Available]
[Module 6]
LiveStock-Related Applications
- Automated Livestock (Pig) Counting [Available]
- Fish Farming Monitoring [Available]
- Automated Cattle Monitoring and Health Assessment [Available]