Sign In to Follow Application
View All Documents & Correspondence

Smart Organic Led Farming System Based On Artificial Intelligence And Machine Learning Model

Abstract: The present invention relates to an organic LED (Light emitting diode) fanning using artificial intelligence is paving the way to increase crop production effectively with LED lights. Users can select specific wavelength to elicit targeted photo morphogenic, bio chemical, or physiological plant responses. LED can prevent physiological disorder that are common in indoor environments, and help reduce incidence if pest and diseases pressure in agriculture, which could ultimately increase crop production efficiency by preventing crop losses. The output response to the environment or to certain physiological parameters, energy efficiency and plant productivity can be optimized with LEDs using artificial intelligence.

Get Free WhatsApp Updates!
Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
26 October 2021
Publication Number
45/2021
Publication Type
INA
Invention Field
ELECTRICAL
Status
Email
soni.mukesh15@gmail.com
Parent Application

Applicants

1. Dr Ashok Kumar Koshariya
Assistant Professor, Department of Plant Pathology, School of Agriculture, Lovely Professional University Jalandhar, Punjab, India
2. Susheel George Joseph
Associate Professor, Department of Computer Application, Kristu Jyoti College of Management and Technology, Kurismood, Chethipuzha, Changanasery, Kottayam, Kerala, India
3. Dr. Anurag Shrivastava
Principal and Professor (ECE), Lakshmi Narain College of Technology and Science, Indore, Madhya Pradesh, India
4. Ashutosh Khade
Assistant Professor, Department of Physics, MVPS Arts Commerce and Science College, Trimbakeshwar, Nashik, Maharashtra, India
5. Dr Sandeep Rout
Assistant Professor, Faculty of Agriculture, Sri Sri University, Cuttack, Odisha, India -754006
6. Mr. Saurabh Singh
Assistant Professor, Dept of Computer Science and Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India
7. Dr. Yogini Dilip Borole
Assistant Professor, Department of Electronics and Telecommunications Engineering, G H Raisoni Institute of Engineering and Technology, Wagholi, Pune, Maharashtra, India
8. Amit Shrivastava
Assistant Professor, Department of CSE, Swami Vivekanand College of Engineering, Indore, Madhya Pradesh, India
9. Dr. Sudhir Kumar Sharma
Professor, Department of ECE, Jaipur National University, Jaipur, Rajasthan, India

Inventors

1. Dr Ashok Kumar Koshariya
Assistant Professor, Department of Plant Pathology, School of Agriculture, Lovely Professional University Jalandhar, Punjab, India
2. Susheel George Joseph
Associate Professor, Department of Computer Application, Kristu Jyoti College of Management and Technology, Kurismood, Chethipuzha, Changanasery, Kottayam, Kerala, India
3. Dr. Anurag Shrivastava
Principal and Professor (ECE), Lakshmi Narain College of Technology and Science, Indore, Madhya Pradesh, India
4. Ashutosh Khade
Assistant Professor, Department of Physics, MVPS Arts Commerce and Science College, Trimbakeshwar, Nashik, Maharashtra, India
5. Dr Sandeep Rout
Assistant Professor, Faculty of Agriculture, Sri Sri University, Cuttack, Odisha, India -754006
6. Mr. Saurabh Singh
Assistant Professor, Dept of Computer Science and Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India
7. Dr. Yogini Dilip Borole
Assistant Professor, Department of Electronics and Telecommunications Engineering, G H Raisoni Institute of Engineering and Technology, Wagholi, Pune, Maharashtra, India
8. Amit Shrivastava
Assistant Professor, Department of CSE, Swami Vivekanand College of Engineering, Indore, Madhya Pradesh, India
9. Dr. Sudhir Kumar Sharma
Professor, Department of ECE, Jaipur National University, Jaipur, Rajasthan, India

Specification

The present invention relates to the field of photonics and artificial intelligence to
cultivate crops using organic led and it is monitored using artificial intelligence.
Background of the invention:
The background information herein below relates to the present disclosure but
is not necessarily prior art.
Artificial intelligence is based on the principle that human intelligence can be
defined in a way that a machine can easily mimic it and execute tasks, from the simplest to
those that are even more complex. The goals of artificial intelligence include learning,
reasoning, and perception.
Diseases and pests of agronomic crop is an important factor for restricting
agricultural production and income. Due to diseases and pests of agronomic crop have
species it is more, Influence it is big and often population outbreak the characteristics of, its
occurrence scope and the order of severity are often made to national economy, particularly
agricultural production into heavy losses.
Agricultural disease is found in time and takes Prevention method, to avoiding
the agriculture underproduction and economy of large scale from losing very It is important.
Prior art relies primarily on artificial detection, i.e. professional of agriculture goes deep into
field in corps diseases context of detection Site inspection is carried out to crop production
situation, whether Site Detection crop occurs disease and disease species. This corps diseases
Detection mode, it is unfavorable for finding disease species in time early stage crop disease
occurs, and takes targeted prophylactic-therapeutic measures. Profit Manually intelligence
realizes the automatic detection of crop disease, can effectively solve the problem that abovementioned problem.
By means of artificial intelligence, peasant can the crop cultivated whenever
and wherever possible to it carries out Defect inspection, and the preventing and treating for
5
disease early stage is highly beneficial. It is real using artificial intelligence The automatic
detection of existing crop disease, its core technology is image recognition.
Artificial Intelligence in agriculture not only helping farmers to automate their
farming but also shifts to precise cultivation for higher crop yield and better quality while
using fewer resources.
The challenges faced by farmers by using traditional methods of farming and
how Artificial Intelligence is making a revolution in agriculture by replacing traditional
methods by using more efficient methods and helping the world to become a better place.
Although various attempts are made before, for providing various an organic led farming
using artificial intelligence and few of them are such as- 20190037664 discloses farming light
control system and farming light control method thereof,
There exist many drawbacks in the existing device. Therefore there is need to
introduce an organic led farming using artificial intelligence for self sustainability during post
COVID 19. Hence the present invention provides crop production with LED lights.
Objective of the invention
An objective of the present invention is to attempt to overcome the problems
of the prior art and provide crop production with LED lights.
In a preferred embodiment, the present monitor the LED farming such as
micro and macro nutrients in the soil, growth rate and diseases of the plant using Artificial
Intelligence (AI) based light emitting diode.
These and other objects and characteristics of the present invention will
become apparent from the further disclosure to be made in the detailed description given
below.
6
Summary of the invention:
The LED lights for growing plants are placed directly over or just to the side
of plants as they sprout. The user controls the light type, on/off and the color of the light
based on the growth stage of the plant. It should be close to the spectra used by plants. It is
important to see the output spectra of a light before you buy a LED light. The mobile app is
developed to control and monitor the led lightning of plant growth and monitor its nutrients
by artificial intelligence. The present invention will reduce the man power and also helpful
during pandemic period by cultivating organic foods. LED farming makes better future that
helps farmers when they couldn't predict the climatic change.
Detailed description of the invention:
The present invention relates to an organic led farming using artificial
intelligence for self sustainability during post covid 19
The present invention relates to LED based organic farm. The present LED
based organic form is to make people a self-sustainable. The combination of healthy soils and
natural farming techniques makes the food produced through organic farming richer in
minerals and micronutrients. But it requires continuously monitoring to ensure that their
crops are healthy, and weed or pest free.
To overcome this challenge artificial intelligence based vision system will
help us to monitor continuously. The computer vision based system will capture the plant
image and detect whether crop is infected or not. Once the plant is gets infected, suitable
medical prescription will be popped out as a message. This system will also enable with
mobile app to control the led lighting for plant growth and monitor its nutrients.
In addition to that LED light control system was integrated with the app to
control the lighting level of the LED. The mobile app will also capture the plant images to
determine the harvesting stages of the plant.
The design system has
• LED farm setup in lab
7
• Design of Deep Learning architecture to predict plant nutrition and
disease
• Development of mobile application to monitor plant growth,
controlling LED lighting and monitoring the status of harvesting stages
• Harvesting the organic plants

We Claims:
1. An artificial intelligence based organic led farming during post covid 19., comprises
of:
a Light Emitting Diodes (LED);
a camera;
a crop/seed holder;
a chamber;
a mobile phone;
a Power supply unit;
2. The artificial intelligence based organic led farming during post covid 19 as claimed
in claim 1 wherein, this design system has a Light Emitting Diodes (LED) which is
connected at the top of the chamber; the crops or seeds were placed in the crop/seed
holder; The LED are operated using the power supply unit; a camera is fixed inside
the chamber to monitor the seed/crop/plant status such as nutrients and diseases
present on it; the details of the seed/crop/plant status which is present in the
crop/seed holder can be viewed through the mobile application using Artificial
Intelligence which is installed in the mobile phone; Once the plant is grown it can be
taken out from the chamber; Light Emitting Diodes (LED) can be chosen based on
the crop/seed selection which will be placed on the crop/seed holder; Each crop/seed
will grow based on the wavelength of Light Emitting Diodes (LED).

Documents

Application Documents

# Name Date
1 202111048978-COMPLETE SPECIFICATION [26-10-2021(online)].pdf 2021-10-26
1 202111048978-STATEMENT OF UNDERTAKING (FORM 3) [26-10-2021(online)].pdf 2021-10-26
2 202111048978-DECLARATION OF INVENTORSHIP (FORM 5) [26-10-2021(online)].pdf 2021-10-26
2 202111048978-REQUEST FOR EARLY PUBLICATION(FORM-9) [26-10-2021(online)].pdf 2021-10-26
3 202111048978-FORM 1 [26-10-2021(online)].pdf 2021-10-26
3 202111048978-FORM-9 [26-10-2021(online)].pdf 2021-10-26
4 202111048978-FORM 1 [26-10-2021(online)].pdf 2021-10-26
4 202111048978-FORM-9 [26-10-2021(online)].pdf 2021-10-26
5 202111048978-DECLARATION OF INVENTORSHIP (FORM 5) [26-10-2021(online)].pdf 2021-10-26
5 202111048978-REQUEST FOR EARLY PUBLICATION(FORM-9) [26-10-2021(online)].pdf 2021-10-26
6 202111048978-COMPLETE SPECIFICATION [26-10-2021(online)].pdf 2021-10-26
6 202111048978-STATEMENT OF UNDERTAKING (FORM 3) [26-10-2021(online)].pdf 2021-10-26