SMART SYSTEM FOR OPTIMIZED ORGANIC CROP ROTATION USING PRECISION AGRICULTURE DATA

Sri Lanka's first IOT and Machine Learning Based Smart System for Crop Rotation planning with real time expert advices.

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Research Scope

Litereature Survey

A comprehensive literature survey on an integrated system for organic farming involves an exploration of diverse research areas. Firstly, studies focusing on organic crop rotation plans underscore the importance of maintaining soil fertility and minimizing pest and disease occurrences. These studies also highlight the role of technology-driven approaches in devising efficient crop rotation strategies, considering factors such as crop compatibility and nutrient equilibrium. Moreover, a thorough review of research papers concerning pest and disease prevention in organic farming reveals innovative strategies such as the implementation of natural predators, biopesticides, and resilient crop varieties. Additionally, the integration of modern technologies such as IoT, AI, and machine learning in organic farming is found to be instrumental in monitoring and controlling pests and diseases while ensuring minimal environmental impact.

Furthermore, a critical analysis of literature addressing crop recommendations based on soil quality underscores the significance of precise soil analysis techniques in determining the soil's nutrient composition and overall health for organic crop cultivation. These studies emphasize the need for tailored crop recommendations that account for specific soil attributes, including pH levels, nutrient content, and microbial diversity. Similarly, an examination of research dedicated to crop recommendations based on weather conditions highlights the significant influence of weather patterns and climate fluctuations on organic crop production. Advanced weather monitoring systems and climate-resilient farming techniques are proposed as essential tools for selecting appropriate crop varieties and cultivation practices adaptable to varying weather conditions.

Research Gap

In relation to the literature surveys that were conducted for the organic crop rotation, Below research gaps were discovered and listed below:

  •  There are no any system that address the organic crop rotation planning in Sri Lankan context.
  •  Existing platforms doesn't take the measured data for the crop rotation plan.
  •  Usage of providing organic and nonchemical solutions for the identified problems.

Research Problem

  • How to create a crop rotation plan according to precision agriculture data?
  • How to get soil data required for organic farming using IOT devices.
  • How to recommend methods to reduce the effect on organic crops based on weather conditions.
  • How to create the system to provide the traditional solutions or ways to prevent identified pests or diseases through the trained model.

Objectives

The main objective of this system is to provide the opportunity for the stakeholders to create their crop rotation plan with the help analysis of soil, climate and pests.

Sub Objectives

  •  Gather soil data using IoT device and use it as parameters in an algorithm.
  •  Identify the pests and diseases based on the provided image and provide solutions through an algorithm.
  •  Gather climate data using IoT device and use it as a parameters in an algorithm.

Technologies


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Research Milestones


about Us

Mr. Udara Samaratunge

Supervisor

udara.s@sliit.lk

Dr. Nuwan Kodagoda

Co-supervisor

nuwan.k@sliit.lk

Danushka Ranasinghe

Danushka Ranasinghe

Anjana Samarakoon

Anjana Samarakoon

Upendra Ihalagedara

Upendra Ihalagedara

Madusanka Waththaldeniya

Madusanka Waththaldeniya

Contact Us

Please reach us using one of the following contact methods for any inquiries

Danushka Ranasinghe

 +94 774020028

Anjana Samarakoon

 +94765851400

Upendra Ihalagedara

 +94714209024

Madusanka Waththaldeniya

 +94767474152