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Yuu Tanimoto and Shinichi Yoshida
Estimating the fruit size is an important factor because it directly influences size-specific yield estimation, which would be useful for pricing in the market. In this paper, it was considered a method of constructing models for estimating the proportio...
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Carlos Alberto Matias de Abreu Júnior, George Deroco Martins, Laura Cristina Moura Xavier, João Vitor Meza Bravo, Douglas José Marques and Guilherme de Oliveira
Image-based spectral models assist in estimating the yield of maize. During the vegetative and reproductive phenological phases, the corn crop undergoes changes caused by biotic and abiotic stresses. These variations can be quantified using spectral mode...
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Jie Pei, Pengyu Liu, Huajun Fang, Xinyu Gao, Baihong Pan, Haolin Li, Han Guo and Feng Zhang
Surface ozone (O3) pollution is an emerging environmental abiotic stress that poses substantial risks to crop yield losses and food security worldwide, and especially in China. However, the O3-induced detrimental effects on double-season rice have rarely...
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Srinivasagan N. Subhashree, C. Igathinathane, Adnan Akyuz, Md. Borhan, John Hendrickson, David Archer, Mark Liebig, David Toledo, Kevin Sedivec, Scott Kronberg and Jonathan Halvorson
Farmers and ranchers depend on annual forage production for grassland livestock enterprises. Many regression and machine learning (ML) prediction models have been developed to understand the seasonal variability in grass and forage production, improve ma...
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Nicoleta Darra, Evangelos Anastasiou, Olga Kriezi, Erato Lazarou, Dionissios Kalivas and Spyros Fountas
Going beyond previous work, this paper presents a systematic literature review that explores the deployment of satellites, drones, and ground-based sensors for yield prediction in agriculture. It covers multiple aspects of the topic, including crop types...
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