Food needs are increasing day by day, and traditional agricultural methods are not responding efficiently. Moreover, considering other important global challenges such as energy sufficiency and migration crises, the need for sustainable agriculture has become essential. For this, an integrated smart and mechanism-application-based model is proposed in this study. This model consists of three stages. In the first phase (cultivation), the proposed model tried to plant crops in the most optimized way by using an automized algorithmic approach (Sand Cat Swarm Optimization algorithm). In the second stage (control and monitoring), the growing processes of the planted crops was tracked and monitored using Internet of Things (IoT) devices. In the third phase (harvesting), a new method (Reverse Ant Colony Optimization), inspired by the ACO algorithm, was proposed for harvesting by autonomous robots. In the proposed model, the most optimal path was analyzed. This model includes maximum profit, maximum quality, efficient use of resources such as human labor and water, the accurate location for planting each crop, the optimal path for autonomous robots, finding the best time to harvest, and consuming the least power. According to the results, the proposed model performs well compared to many well-known methods in the literature.
Eser Adı (dc.title) | A Smart and Mechanized Agricultural Application: From Cultivation to Harvest |
Yazar (dc.contributor.author) | Metin Zontul |
Yayın Yılı (dc.date.issued) | 2022 |
Tür (dc.type) | Makale |
Özet (dc.description.abstract) | Food needs are increasing day by day, and traditional agricultural methods are not responding efficiently. Moreover, considering other important global challenges such as energy sufficiency and migration crises, the need for sustainable agriculture has become essential. For this, an integrated smart and mechanism-application-based model is proposed in this study. This model consists of three stages. In the first phase (cultivation), the proposed model tried to plant crops in the most optimized way by using an automized algorithmic approach (Sand Cat Swarm Optimization algorithm). In the second stage (control and monitoring), the growing processes of the planted crops was tracked and monitored using Internet of Things (IoT) devices. In the third phase (harvesting), a new method (Reverse Ant Colony Optimization), inspired by the ACO algorithm, was proposed for harvesting by autonomous robots. In the proposed model, the most optimal path was analyzed. This model includes maximum profit, maximum quality, efficient use of resources such as human labor and water, the accurate location for planting each crop, the optimal path for autonomous robots, finding the best time to harvest, and consuming the least power. According to the results, the proposed model performs well compared to many well-known methods in the literature. |
Açık Erişim Tarihi (dc.date.available) | 2022-07-06 |
Yayıncı (dc.publisher) | Basel |
Dil (dc.language.iso) | En |
Konu Başlıkları (dc.subject) | Autonomous robots |
Konu Başlıkları (dc.subject) | Remote sensing |
Konu Başlıkları (dc.subject) | Smart agriculture |
Konu Başlıkları (dc.subject) | Climate change |
Konu Başlıkları (dc.subject) | Environmental protection |
Konu Başlıkları (dc.subject) | Drone |
Konu Başlıkları (dc.subject) | Metaheuristic |
Konu Başlıkları (dc.subject) | Internet of Things |
Tek Biçim Adres (dc.identifier.uri) | https://hdl.handle.net/20.500.14081/1637 |
Dergi (dc.relation.journal) | Applied Sciences-Basel |
Dergi Sayısı (dc.identifier.issue) | 12 |
Esere Katkı Sağlayan (dc.contributor.other) | Zontul, Metin |
Esere Katkı Sağlayan (dc.contributor.other) | Erenel, Fahri |
Esere Katkı Sağlayan (dc.contributor.other) | Kiani, Farzad; |
Esere Katkı Sağlayan (dc.contributor.other) | Randazzo, Giovanni |
Esere Katkı Sağlayan (dc.contributor.other) | Yelmen, Ilkay |
Esere Katkı Sağlayan (dc.contributor.other) | Seyyedabbasi, Amir |
Esere Katkı Sağlayan (dc.contributor.other) | Nematzadeh, Sajjad |
Esere Katkı Sağlayan (dc.contributor.other) | Anka, Fateme Aysin |
Esere Katkı Sağlayan (dc.contributor.other) | Lanza, Stefania |
Esere Katkı Sağlayan (dc.contributor.other) | Muzirafuti, Anselme |
DOI (dc.identifier.doi) | 10.3390/app12126021 |
Orcid (dc.identifier.orcid) | 0000-0002-7557-2981 |
Dergi Cilt (dc.identifier.volume) | 12 |
wosquality (dc.identifier.wosquality) | Q2 |
wosauthorid (dc.contributor.wosauthorid) | EIV-4571-2022 |
Department (dc.contributor.department) | Bilgisayar Mühendisliği |
Wos No (dc.identifier.wos) | WOS:000817426000001 |
Veritabanları (dc.source.platform) | Wos |
Veritabanları (dc.source.platform) | Scopus |