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Netw."],"published-print":{"date-parts":[[2024,5,31]]},"abstract":"<jats:p>The use of drones for collecting information and detecting bugs in orchards covered by nets is a challenging problem. The nets help in reducing pest damage, but they also constrain the drone\u2019s flight path, making it longer and more complex. To address this issue, we model the orchard as an aisle-graph, a regular data structure that represents consecutive aisles where trees are arranged in straight lines. The drone flies close to the trees and takes pictures at specific positions for monitoring the presence of bugs, but its energy is limited, so it can only visit a subset of positions. To tackle this challenge, we introduce the Single-drone Orienteering Aisle-graph Problem (SOAP), a variant of the orienteering problem, where likely infested locations are prioritized by assigning them a larger profit. Additionally, the drone\u2019s movements have a cost in terms of energy, and the objective is to plan a drone\u2019s route in the most profitable locations under a given drone\u2019s battery. We show that SOAP can be optimally solved in polynomial time, but for larger orchards\/instances, we propose faster approximation and heuristic algorithms. Finally, we evaluate the algorithms on synthetic and real datasets to demonstrate their effectiveness and efficiency.<\/jats:p>","DOI":"10.1145\/3653713","type":"journal-article","created":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T12:03:12Z","timestamp":1711108992000},"page":"1-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Drone-Based Bug Detection in Orchards with Nets: A Novel Orienteering Approach"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0450-2721","authenticated-orcid":false,"given":"Francesco","family":"Betti Sorbelli","sequence":"first","affiliation":[{"name":"University of Perugia, Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7321-3467","authenticated-orcid":false,"given":"Federico","family":"Cor\u00f3","sequence":"additional","affiliation":[{"name":"University of Padua, Padua, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9471-0868","authenticated-orcid":false,"given":"Sajal K.","family":"Das","sequence":"additional","affiliation":[{"name":"Missouri Science and Technology University, Rolla, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3069-3971","authenticated-orcid":false,"given":"Lorenzo","family":"Palazzetti","sequence":"additional","affiliation":[{"name":"University of Florence, Florence, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8674-868X","authenticated-orcid":false,"given":"Cristina M.","family":"Pinotti","sequence":"additional","affiliation":[{"name":"University of Perugia, Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,4,23]]},"reference":[{"issue":"1","key":"e_1_3_3_2_2","doi-asserted-by":"crossref","first-page":"2500","DOI":"10.20546\/ijcmas.2019.801.264","article-title":"Application of drone in agriculture","volume":"8","author":"Ahirwar S.","year":"2019","unstructured":"S. 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