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MA65536A1 - Mobile application integrating on-board artificial intelligence for the detection, prediction and mapping of olive tree diseases and pests - Google Patents

Mobile application integrating on-board artificial intelligence for the detection, prediction and mapping of olive tree diseases and pests

Info

Publication number
MA65536A1
MA65536A1 MA65536A MA65536A MA65536A1 MA 65536 A1 MA65536 A1 MA 65536A1 MA 65536 A MA65536 A MA 65536A MA 65536 A MA65536 A MA 65536A MA 65536 A1 MA65536 A1 MA 65536A1
Authority
MA
Morocco
Prior art keywords
pests
diseases
olive tree
application
farmers
Prior art date
Application number
MA65536A
Other languages
French (fr)
Inventor
Elalaoui Abdelbaki Elbelrhiti
EL AKHAL Hicham
Ben Yahya Aissa
Chouchf Said
Original Assignee
Université Moulay Ismail
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 Université Moulay Ismail filed Critical Université Moulay Ismail
Priority to MA65536A priority Critical patent/MA65536A1/en
Publication of MA65536A1 publication Critical patent/MA65536A1/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0098—Plants or trees
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Botany (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Animal Husbandry (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Wood Science & Technology (AREA)
  • Agronomy & Crop Science (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Catching Or Destruction (AREA)

Abstract

Nous présentons une application mobile innovante qui peut révolutionner l'oléiculture : une application mobile intelligente pour la détection et la prédiction des maladies et des ravageurs de l'olivier, et qui offre aussi une cartographie de létat sanitaire de lolivier. Lapplication repose sur un modèle d'intelligence artificielle embarquée, lui permettant de rester opérationnelle même en absence de connexion Internet. Notre innovation devrait être indispensable pour les petits et grands exploitants agricoles, et d'une grande utilité pour les institutions gouvernementales et de recherche et pour les particuliers. En effet, uniquement grâce à leur smartphone, l'application va leur permettre : i) De détecter les maladies et les ravageurs de l'olivier présents aussi bien sur les feuilles, sur les fruits que sur les branches. Cette détection va identifier la présence des maladies et des ravageurs puis indiquer leur type. ii) De les alerter dune potentielle apparition de maladie et/ou du ravageur dans leur verger. iii) De suivre l'évolution des maladies et des ravageurs dans le temps et dans l'espace. Ainsi, l'application revêt une importance capitale, car elle jouera un rôle essentiel dans la réduction des pertes de rendement, des dépenses financières et de l'impact environnemental des pesticides. En identifiant les problèmes avant même leur apparition, les agriculteurs et les instances concernées peuvent prendre des mesures préventives pour limiter les dommages. Tandis que la cartographie, permet aux grands agriculteurs et aux institutions de suivre l'évolution des maladies et des ravageurs au fil du temps et géographiquement, facilitant ainsi le processus de prise de décisions, et elle représente également une mine d'or à explorer pour les scientifiques.We are introducing an innovative mobile application that can revolutionize olive growing: a smart mobile app for detecting and predicting olive tree diseases and pests, which also provides a map of the olive tree's health status. The application is based on an embedded artificial intelligence model, allowing it to remain operational even without an internet connection. Our innovation should be indispensable for small and large farmers, and of great use to government and research institutions, as well as individuals. Using only their smartphones, the application will allow them to: i) Detect olive tree diseases and pests present on leaves, fruit, and branches. This detection will identify the presence of diseases and pests and indicate their type. ii) Receive alerts of potential disease and/or pest outbreaks in their orchard. iii) Track the evolution of diseases and pests over time and space. Therefore, the application is of paramount importance, as it will play a crucial role in reducing yield losses, financial expenditures, and the environmental impact of pesticides. By identifying problems before they even appear, farmers and relevant authorities can take preventative measures to limit damage. Meanwhile, mapping allows large-scale farmers and institutions to track the evolution of diseases and pests over time and geographically, thus facilitating the decision-making process, and it also represents a goldmine for scientists to explore.

MA65536A 2024-04-23 2024-04-23 Mobile application integrating on-board artificial intelligence for the detection, prediction and mapping of olive tree diseases and pests MA65536A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
MA65536A MA65536A1 (en) 2024-04-23 2024-04-23 Mobile application integrating on-board artificial intelligence for the detection, prediction and mapping of olive tree diseases and pests

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MA65536A MA65536A1 (en) 2024-04-23 2024-04-23 Mobile application integrating on-board artificial intelligence for the detection, prediction and mapping of olive tree diseases and pests

Publications (1)

Publication Number Publication Date
MA65536A1 true MA65536A1 (en) 2025-10-31

Family

ID=97567413

Family Applications (1)

Application Number Title Priority Date Filing Date
MA65536A MA65536A1 (en) 2024-04-23 2024-04-23 Mobile application integrating on-board artificial intelligence for the detection, prediction and mapping of olive tree diseases and pests

Country Status (1)

Country Link
MA (1) MA65536A1 (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013181558A1 (en) * 2012-06-01 2013-12-05 Agerpoint, Inc. Systems and methods for monitoring agricultural products

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013181558A1 (en) * 2012-06-01 2013-12-05 Agerpoint, Inc. Systems and methods for monitoring agricultural products

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