An Automatic System for Pest Recognition and Forecasting.
Sign Up to like & getrecommendations! Published in 2021 at "Pest management science"
DOI: 10.1002/ps.6684
Abstract: BACKGROUND Pests cause significant damage to agricultural crops and reduce the crop yields. Using manual pest forecasting methods for integrated pest management is a labor intensive and time-consuming process. Here, we present an automatic system… read more here.
Keywords: system pest; system; large fields; automatic system ... See more keywords
Reply to Barbier et al.: NLP is not a magic bullet
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2201386119
Abstract: Responding to Chu and Evans (1) in PNAS, Barbier et al. (2) advocate augmenting the human ability to “ingest and analyze” the publications in a field through natural language processing (NLP) categorization of papers (3)… read more here.
Keywords: barbier nlp; reply barbier; large fields; nlp magic ... See more keywords
Small, sparse, but substantial: techniques for segmenting small agricultural fields using sparse ground data
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1834166
Abstract: ABSTRACT The recent thrust on digital agriculture (DA) has renewed significant research interest in the automated delineation of agricultural fields. Most prior work addressing this problem has focused on detecting medium to large fields, while… read more here.
Keywords: agricultural fields; edge detection; small sparse; large fields ... See more keywords