{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T12:44:57Z","timestamp":1775738697049,"version":"3.50.1"},"reference-count":46,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2022,10,29]],"date-time":"2022-10-29T00:00:00Z","timestamp":1667001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Veneto Region, Measure 16","award":["2014-2020-DGR 2175 del 23\/12\/2016"],"award-info":[{"award-number":["2014-2020-DGR 2175 del 23\/12\/2016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In recent decades there has been an increasing use of remotely sensed data for precision agricultural purposes. Sericulture, the activity of rearing silkworm (Bombyx mori L.) larvae to produce silk in the form of cocoons, is an agricultural practice that has rarely used remote sensing techniques but that could benefit from them. The aim of this work was to investigate the possibility of using satellite imaging in order to monitor leaf harvesting in mulberry (Morus alba L.) plants cultivated for feeding silkworms; additionally, quantitative parameters on silk cocoon production were related to the analyses on vegetation indices. Adopting PlanetScope satellite images, four M. alba fields were monitored from the beginning of the silkworm rearing season until its end in 2020 and 2021. The results of our work showed that a decrease in the multispectral vegetation indices in the mulberry plots due to leaf harvesting was correlated with the different parameters of silk cocoons spun by silkworm larvae; in particular, a decrease in the Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) had high correlations with quantitative silk cocoon production parameters (R2 values up to 0.56, p &lt; 0.05). These results led us to the conclusion that precision agriculture can improve sericultural practice, offering interesting solutions for estimating the quantity of produced silk cocoons through the remote analysis of mulberry fields.<\/jats:p>","DOI":"10.3390\/rs14215450","type":"journal-article","created":{"date-parts":[[2022,10,30]],"date-time":"2022-10-30T09:01:42Z","timestamp":1667120502000},"page":"5450","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Remote Sensing Imaging as a Tool to Support Mulberry Cultivation for Silk Production"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7749-6433","authenticated-orcid":false,"given":"Domenico","family":"Giora","sequence":"first","affiliation":[{"name":"Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, Legnaro, 35020 Padova, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9793-0893","authenticated-orcid":false,"given":"Alberto","family":"Assirelli","sequence":"additional","affiliation":[{"name":"Council for Agricultural Research and Economics, Research Centre for Engineering and Agro-Food Processing, Monterotondo, 00015 Rome, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7703-188X","authenticated-orcid":false,"given":"Silvia","family":"Cappellozza","sequence":"additional","affiliation":[{"name":"Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Sericulture Laboratory, 35143 Padua, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6437-3402","authenticated-orcid":false,"given":"Luigi","family":"Sartori","sequence":"additional","affiliation":[{"name":"Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, Legnaro, 35020 Padova, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4372-5688","authenticated-orcid":false,"given":"Alessio","family":"Saviane","sequence":"additional","affiliation":[{"name":"Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Sericulture Laboratory, 35143 Padua, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3283-5665","authenticated-orcid":false,"given":"Francesco","family":"Marinello","sequence":"additional","affiliation":[{"name":"Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, Legnaro, 35020 Padova, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1480-3632","authenticated-orcid":false,"given":"Jos\u00e9 A.","family":"Mart\u00ednez-Casasnovas","sequence":"additional","affiliation":[{"name":"Research Group in AgroICT and Precision Agriculture (GRAP), Agrotecnio CENTRA-Center, University of Lleida, E25198 Lleida, Spain"},{"name":"Department of Environment and Soil Science, University of Lleida, E25198 Lleida, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,29]]},"reference":[{"key":"ref_1","unstructured":"Lim, S.-H., Kim, Y.-T., Lee, S.-P., Rhee, I.-J., Lim, J.-S., and Lim, B.-H. 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