Under AI-based agriculture projects we discuss how farmers can check crop conditions, weather forms and soil quality by using artificial intelligence technologies. In this URL we guide  you about an overview of various  applications in agriculture. We have listed a few exciting research projects in agriculture by using AI that we have worked with.

Precision Farming:

To analyse data from satellite images in this method we use AI to sensor in the field, and other sources to optimize the application of inputs like water, fertilizer, and pesticides we make use of various other sources. Technologies used here are Remote sensing, computer vision, machine learning algorithms.

Disease and Pest Prediction:

Deep learning, image recognition will be applied in Machine learning models to forecast disease or pest outbreaks that depends on historical data and real-time monitoring.

Automated Drone-Based Monitoring:

To find issues we use Drones, computer vision and machine learning tools such as crop stress, pest infestations, and water needs.

Robotic Harvesting:

To identify and harvest ripe crops we must equipe Robots with AI-driven vision systems by using Robotics, computer vision, neural networks.

AI Based Agriculture Ideas

Yield Prediction:

Machine learning, data analytics will be applied in AI models to find various factors like weather data, soil quality, and crop health to forecast crop yields.

Smart Irrigation:

Sensors and AI algorithms are used in systems to control the exact water that is required for crops, proper water usage by using tools like Internet of Things (IoT), machine learning.

Soil Health Analysis:

IoT, machine learning, data analytics are used by applying AI to analyse the data from soil sensors to understand soil health and make suggestions for improving it.

Weather Prediction and Impact Analysis:

Machine learning, data analytics, cloud computing are used to foresee weather patterns and their impact on crop yields by using AI models.

Supply Chain Optimization:

AI is used to improve the supply chain from farm to table, by reducing waste and improving productivity here we use Machine learning, data analytics, IoT.

Chatbots for Farmers:

Natural language processing, chatbot platforms provide farmers with real-time advice here we work on best practices, market prices and other related data.

                  To develop this project, we carry out hardware and software support as it is a combination of both. Our agricultural research experts will merge AI models by using correct techniques and algorithms for proper outcome. Here at our researchers make wise decision at all stages of your agricultural research work. We have more branches across the globe to enhance our clients in all their research needs. We will assist you online for your Journal Manuscript in all research areas.


Our agricultural professionals aid you to find a better solution in all your research encounters. We sort out the best agricultural topic ideas and study that topic and handle out the research issues tactically. Our goal is to satisfy your AI requirements and present with a well-written research paper that meets all your guidelines.

1.Survey of Grading Process for Agricultural Foods by Using Artificial Intelligence Technique

  1. Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review

      3.Application of 5G+AI technology in agricultural administrative law enforcement

  1. Artificial Intelligence based Efficient Phenotyping for Agronomics
  2. Rice Talk: Rice Blast Detection Using Internet of Things and Artificial Intelligence Technologies
  3. RBD-AIIoT: Rice Blasts Detection Combining AI & IoT
  4. An Artificial Intelligence Instructional System to Promote Learning on Rice Farming Basing on the Philosophy of Sufficiency Economy for Farmers in the Upper Northeastern Thailand
  5. Prediction Software Design of Food Economy-Epidemic Situation based on Internet Financial Framework and Intelligent AI Algorithm
  6. Artificial Intelligence-Based Optimal Control Method for Energy Saving in Food Supply Chain Logistics Transportation
  7. Artificial Intelligence (Ai) In the Food and Beverage Industry: Improves the Customer Experience
  8. An AI Based Approach for Personalized Nutrition and Food Menu Planning
  9. Development of an Artificial Intelligence (AI) Based Visual Counting System for the Food Industry
  10. IoT Solutions for Precision Farming and Food Manufacturing: Artificial Intelligence Applications in Digital Food
  11. Wheat yield prediction using Artificial Intelligence models and its comparative analysis for better prediction
  12. Smart Farming based on AI, Edge Computing and IoT
  13. Solar-smart hydroponics farming with IoT-based AI controller with mobile app
  14. Smart Farming Monitoring Through Artificial Intelligence for Enhancement of Harvest Quality and Productivity
  15. Subsuming AI, IoT and Big Data in Smart Farm Practices
  16. Cloud Analytics based Farming with Predictive Analytics using Artificial Intelligence


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To improve the quality and originality of works, we are strictly avoiding plagiarism since plagiarism is not allowed and acceptable for any type journals (SCI, SCI-E, or Scopus) in editorial and reviewer point of view. We have software named as “Anti-Plagiarism Software” that examines the similarity score for documents with good accuracy. We consist of various plagiarism tools like Viper, Turnitin, Students and scholars can get your work in Zero Tolerance to Plagiarism. DONT WORRY ABOUT PHD, WE WILL TAKE CARE OF EVERYTHING.

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