TR2022012051A2 - A NEW SYSTEM TO DETECT THE HEALTH STATUS OF LEAF BY ANALYSIS OF TREE LEAVES - Google Patents

A NEW SYSTEM TO DETECT THE HEALTH STATUS OF LEAF BY ANALYSIS OF TREE LEAVES

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Publication number
TR2022012051A2
TR2022012051A2 TR2022/012051A TR2022012051A TR2022012051A2 TR 2022012051 A2 TR2022012051 A2 TR 2022012051A2 TR 2022/012051 A TR2022/012051 A TR 2022/012051A TR 2022012051 A TR2022012051 A TR 2022012051A TR 2022012051 A2 TR2022012051 A2 TR 2022012051A2
Authority
TR
Turkey
Prior art keywords
camera
health status
analyzing
leaf
tree leaves
Prior art date
Application number
TR2022/012051A
Other languages
Turkish (tr)
Inventor
Çeti̇nkaya Ali̇
Original Assignee
Univ Istanbul Gelisim
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Istanbul Gelisim filed Critical Univ Istanbul Gelisim
Priority to TR2022/012051A priority Critical patent/TR2022012051A2/en
Publication of TR2022012051A2 publication Critical patent/TR2022012051A2/en
Priority to PCT/TR2022/051021 priority patent/WO2024025488A1/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G25/00Watering gardens, fields, sports grounds or the like
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G7/00Botany in general
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models

Abstract

Bu buluş, içerdiği görüntü işleme ve yapay zekâ algoritmaları tarafından ağaç yapraklarını analiz ederek yaprak sağlık durumunu tespiti yapan yeni bir sistem ile ilgili olup, özelliği; Web tabanlı veya mobil olabilen ve kamera (2) içeren elektronik cihaz (1), elektronik cihazın (1) kamerası (2) tarafından alınan yaprak görüntülerin aktarıldığı uygulama (3), sistemin eğitilmesi için eskiye yönelik yaprak görsellerinin yüklenerek data setinin oluşturulduğu veri tabanı (4), yapay zeka ve görüntü işleme algoritmalarını içeren uygulamayı (3) çalıştıran ve sunucu (6) tarafından ana bilgisayarın sahip olduğu işlemciyi (5) içermesidir.This invention is related to a new system that detects leaf health status by analyzing tree leaves by the image processing and artificial intelligence algorithms it contains, and its feature is; The electronic device (1) that can be web-based or mobile and includes a camera (2), the application (3) where the leaf images taken by the camera (2) of the electronic device are transferred, and the database where the data set is created by uploading the leaf images for the training of the system ( 4) includes the processor (5) that runs the application (3) containing artificial intelligence and image processing algorithms and is owned by the host by the server (6).

Description

TARIFNAME AGAÇ YAPRAKLARINI ANALIZ EDEREK YAPRAK SAGLIK DURUMUNU TESPITI YAPAN YENI BIR SISTEM Teknolojik Alan: Bu bulus, içerdigi görüntü isleme ve yapay zekâ algoritmalari tarafindan agaç yapraklarini analiz ederek yaprak saglik durumunu tespiti yapan yeni bir sistem ile Teknigin Bilinen Durumu: Dünya üzerinde artan yiyecek ve su ihtiyaci nedeniyle evlerde veya tarlalardaki agaç bakimi giderleri artmaktadir. Bu duruma bagli olarak gelisen agaç ve bitkilerin saglik durumlarini analiz etmek büyük önem arz etmektedir. Geçmisten bugüne bitki yapraklarinin sagligini tespit ederek agaçlarin saglik durumunun algilanmasinda en çok kullanilan yöntem; insan emegi ile yapilmakta olup, bu uygulama; zaman, maliyet, kalite ve üretim miktari açisindan verimli olmadigi gibi, hijyen açisindan da kontrol edilmesi mümkün degildir. Günümüzde agaç ve bitki yetistiriciligi ile ugrasan kisiler tüm bitkileri teker teker kontrol etmek zorunda kaldiklari için prensip olarak oldukça yavas oldugu için dezavantaj teskil etmektedir. Sonuç olarak yukarida bahsedilen dezavantajlarin üstesinden gelebilen, görüntü isleme teknolojisine sahip, kamera tarafindan otomatik görüntü alan ve bitkinin ileriye yönelik saglik analizlerini gerçeklestiren yeni bir teknolojiye ihtiyaç duyulmaktadir. Bulusun Tanimi: Bu bulus, agaç yapraklarini analiz ederek yaprak saglik durumunu tespiti yapan yeni bir sistem olup, özelligi; görüntü isleme teknolojisine sahip, kamera tarafindan otomatik görüntü alan ve bitkinin ileriye yönelik saglik analizlerini gerçeklestiren yeni bir teknoloji olmasidir. Yukarida bahsedilen ve asagida da detayli anlatimdan ortaya çikacak tüm amaçlari gerçeklestirmek üzere bulus; agaç yapraklarini analiz ederek agacin su ihtiyacini hesaplayan ve bu sonuç ile agaçlarin fazla sulama islemini azaltan ve fazla sulamaya dayali maliyetler düsüren bir sistem olmaktadir. Bulus konusu sistem ile gelistirilen yazilim ile kisilerin cep telefonu üzerinde bulunan kamera araciligiyla saglik durumu sistemi gelistirilmistir. Bu sistem ile tarla ve bahçe sulamalarinda su ihtiyaçlari minimuma düsürülerek meyve üretimi artacaktir. Bulus konusu ürün yapisal ve karakteristik özellikleri ve tüm avantajlari asagida verilen sekiller ve bu sekillere atiflar yapmak suretiyle yazilan detayli açiklama sayesinde daha net anlasilacaktir ve bu nedenle degerlendirmenin de bu sekiller ve detayli açiklama göz önünde bulundurularak yapilmasi gerekmektedir. Sekillerin Açiklanmasi: Bulus, ilisikteki sekillere atifta bulunularak anlatilacaktir, böylece bulusun özellikleri daha açikça anlasilacak ve takdir edilecektir, fakat bunun amaci bulusu bu belli düzenlemeler ile sinirlamak degildir. Tam tersine, bulusun ilisikteki istemler tarafindan tanimlandigi alani içine dahil edilebilecek bütün alternatifleri, degisiklikleri ve denkliklerinin kapsanmasi amaçlanmistir. Gösterilen ayrintilar, sadece mevcut bulusun tercih edilen düzenlemelerinin anlatimi amaciyla gösterildigi ve hem yöntemlerin sekillendirilmesinin, hem de bulusun kurallari ve kavramsal özelliklerinin en kullanisli ve kolay anlasilir tanimini saglamak amaciyla sunulduklari anlasilmalidir. Bu çizimlerde; Sekil 1 bulus konusu sistemin isleyisinin sematik görünümüdür. Bu bulusun anlasilmasina yardimci olacak sekiller ekli resimde belirtildigi gibi numaralandirilmis olup isimleri ile beraber asagida verilmistir. Referanslarin Açiklanmasi: 1. Elektronik Cihaz 2. Kamera 3 . Uygulama 4. Veri Tabani . Islemci 6. Sunucu Bulusun Detayli Açiklanmasi: Bulus, Web tabanli veya mobil olabilen ve kamera (2) içeren elektronik cihaz (l), elektronik cihazin (l) kamerasi (2) tarafindan alinan yaprak görüntülerin aktarildigi uygulama (3), sistemin egitilmesi için eskiye yönelik yaprak görsellerinin yüklenerek data setinin olusturuldugu veri tabani (4) ve yapay zekâ ve görüntü isleme algoritmalarini içeren uygulamayi (3) çalistiran ve sunucu (6) tarafindan ana bilgisayarin sahip oldugu islemciyi (5) içermektedir. Bulus, görüntü isleme teknoloji ve yapay zekâ algoritmalarini içeren uygulamayi (3) çalistirarak kamera (2) tarafindan otomatik görüntülerin alindigi ve bitkilerin ileriye yönelik saglik analizlerini gerçeklestiren islemciyi (5) içermektedir. Bulus, kamera (2) tarafindan alinan agaç yapraklarinin görsellerini analiz ederek agacin su ihtiyacini hesaplayan islemciyi (5) içermektedir. Bulus, kamera (2) tarafindan alinan agaç yapraklarinin görsellerini analiz ederek agacin saglik durumunu analiz eden islemciyi (5) içermektedir. TR TR TR DESCRIPTION A NEW SYSTEM THAT DETECTS THE HEALTH STATUS OF LEAVES BY ANALYZING TREE LEAVES Technological Area: This invention is a new system that detects the health status of leaves by analyzing tree leaves by the image processing and artificial intelligence algorithms it contains. State of the Technology: Increasing food and water in the world. Due to the need for tree care at home or in the fields, tree care expenses are increasing. Due to this situation, it is of great importance to analyze the health status of the developing trees and plants. From past to present, the most used method in detecting the health of trees by detecting the health of plant leaves; It is done by human labor and this application; It is not efficient in terms of time, cost, quality and production quantity, and it is not possible to control it in terms of hygiene. Nowadays, people who are engaged in tree and plant cultivation have to control all the plants one by one, which is a disadvantage because, in principle, it is quite slow. As a result, a new technology is needed that can overcome the above-mentioned disadvantages, has image processing technology, automatically takes images by the camera and performs prospective health analyzes of the plant. Description of the Invention: This invention is a new system that detects leaf health status by analyzing tree leaves, and its feature is; It is a new technology that has image processing technology, automatically takes images by the camera and performs prospective health analyzes of the plant. Invention to realize all the purposes mentioned above and which will emerge from the detailed explanation below; It is a system that calculates the water need of the tree by analyzing the tree leaves and with this result, reduces the excessive watering of the trees and reduces the costs related to excessive irrigation. With the software developed with the system subject to the invention, a health status system has been developed through the camera on people's mobile phones. With this system, water needs for field and garden irrigation will be minimized and fruit production will increase. The structural and characteristic features and all the advantages of the product subject to the invention will be more clearly understood thanks to the figures given below and the detailed explanation written by referring to these figures, and therefore the evaluation should be made by taking these figures and the detailed explanation into consideration. Description of Drawings: The invention will be described with reference to the accompanying drawings, so that the features of the invention will be more clearly understood and appreciated, but the purpose of this is not to limit the invention to these particular embodiments. On the contrary, it is intended to cover all alternatives, modifications and equivalences of the invention that may be included within the scope of the invention as defined by the appended claims. It should be understood that the details shown are for the sole purpose of illustrating preferred embodiments of the present invention and are presented for the purpose of providing the most useful and easily understandable description of both the embodiment of the methods and the rules and conceptual features of the invention. In these drawings; Figure 1 is the schematic view of the operation of the system that is the subject of the invention. The figures that will help understand this invention are numbered as indicated in the attached picture and are given below with their names. Explanation of References: 1. Electronic Device 2. Camera 3. Application 4. Database. Processor 6. Server Detailed Explanation of the Invention: The invention consists of an electronic device (l) that can be web-based or mobile and contains a camera (2), an application (3) to which the sheet images taken by the camera (2) of the electronic device (l) are transferred, a device (3) that can be used to train the system. It includes the database (4) where the data set is created by uploading the leaf images for the purpose, and the processor (5) owned by the host computer by the server (6) and the application (3) containing artificial intelligence and image processing algorithms. The invention includes the processor (5), which automatically takes images by the camera (2) and performs prospective health analyzes of the plants by running the application (3) containing image processing technology and artificial intelligence algorithms. The invention includes the processor (5) that calculates the water need of the tree by analyzing the images of tree leaves taken by the camera (2). The invention includes the processor (5) that analyzes the health status of the tree by analyzing the images of tree leaves taken by the camera (2). TR TR TR

Claims (1)

1.ISTEMLER l- Bulus, agaç yapraklarini analiz ederek yaprak saglik durumunu tespiti yapan yeni bir sistem ile ilgili olup, özelligi; - Web tabanli veya mobil olabilen ve kamera (2) içeren elektronik cihaz (l), - elektronik cihazin (l) kamerasi (2) tarafindan alinan yaprak görüntülerin aktarildigi uygulama (3), - sistemin egitilmesi için eskiye yönelik yaprak görsellerinin yüklenerek data setinin olusturuldugu veri tabani (4), - yapay zeka ve görüntü isleme algoritmalarini içeren uygulamayi (3) çalistiran ve sunucu (6) tarafindan ana bilgisayarin sahip oldugu islemciyi (5) içermesidir. 2- Istem l,de bahsedilen agaç yapraklarini analiz ederek yaprak saglik durumunu tespiti yapan yeni bir sistem olup, özelligi; görüntü isleme teknoloji ve yapay zekâ algoritmalarini içeren uygulamayi (3) çalistirarak kamera (2) tarafindan otomatik görüntülerin alindigi ve bitkilerin ileriye yönelik saglik analizlerini gerçeklestiren islemciyi (5) içermesi ile karakterize edilmesidir. 3- Istem l,de bahsedilen agaç yapraklarini analiz ederek yaprak saglik durumunu tespiti yapan yeni bir sistem olup, özelligi; kamera (2) tarafindan alinan agaç yapraklarinin görsellerini analiz ederek agacin su ihtiyacini hesaplayan islemciyi (5) içermesi ile karakterize edilmesidir. 4- Istem l,de bahsedilen agaç yapraklarini analiz ederek yaprak saglik durumunu tespiti yapan yeni bir sistem olup, özelligi; kamera (2) tarafindan alinan agaç yapraklarinin görsellerini analiz ederek agacin saglik durumunu analiz eden islemciyi (5) içermesi ile karakterize edilmesidir. TR TR TR1. CLAIMS l- The invention is about a new system that detects leaf health status by analyzing tree leaves, and its feature is; - An electronic device (l) that can be web-based or mobile and contains a camera (2), - an application (3) to which the leaf images taken by the camera (2) of the electronic device (l) are transferred, - a data set is created by uploading past leaf images to train the system. The database (4) contains the processor (5) owned by the host computer, which runs the application (3) containing artificial intelligence and image processing algorithms, and the server (6). 2- It is a new system that detects leaf health status by analyzing the tree leaves mentioned in claim 1, and its feature is; It is characterized by the fact that it includes the processor (5), which automatically takes images by the camera (2) by running the application (3) containing image processing technology and artificial intelligence algorithms, and performs prospective health analyzes of the plants. 3- It is a new system that detects leaf health status by analyzing the tree leaves mentioned in claim 1, and its feature is; It is characterized by containing the processor (5) that calculates the water need of the tree by analyzing the images of tree leaves taken by the camera (2). 4- It is a new system that detects leaf health status by analyzing the tree leaves mentioned in claim 1, and its feature is; It is characterized by containing the processor (5) that analyzes the health status of the tree by analyzing the images of tree leaves taken by the camera (2). TR TR TR
TR2022/012051A 2022-07-29 2022-07-29 A NEW SYSTEM TO DETECT THE HEALTH STATUS OF LEAF BY ANALYSIS OF TREE LEAVES TR2022012051A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
TR2022/012051A TR2022012051A2 (en) 2022-07-29 2022-07-29 A NEW SYSTEM TO DETECT THE HEALTH STATUS OF LEAF BY ANALYSIS OF TREE LEAVES
PCT/TR2022/051021 WO2024025488A1 (en) 2022-07-29 2022-09-20 A new system that detects the health status of leaves by analyzing tree leaves

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TR2022/012051A TR2022012051A2 (en) 2022-07-29 2022-07-29 A NEW SYSTEM TO DETECT THE HEALTH STATUS OF LEAF BY ANALYSIS OF TREE LEAVES

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TR2022012051A2 true TR2022012051A2 (en) 2022-08-22

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TR2022/012051A TR2022012051A2 (en) 2022-07-29 2022-07-29 A NEW SYSTEM TO DETECT THE HEALTH STATUS OF LEAF BY ANALYSIS OF TREE LEAVES

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TR (1) TR2022012051A2 (en)
WO (1) WO2024025488A1 (en)

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10423850B2 (en) * 2017-10-05 2019-09-24 The Climate Corporation Disease recognition from images having a large field of view
CN113468984A (en) * 2021-06-16 2021-10-01 哈尔滨理工大学 Crop pest and disease leaf identification system, identification method and pest and disease prevention method
CN113379727A (en) * 2021-07-01 2021-09-10 南昌工程学院 Kiwi fruit foliar disease detection method based on improved YOLOv4-Tiny characteristic fusion

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