Review
Agronomy
Lucas Mohimont, Francois Alin, Marine Rondeau, Nathalie Gaveau, Luiz Angelo Steffenel
Summary: This article summarizes the research on computer vision and viticulture, focusing on the use of RGB images for yield estimation and the application of artificial intelligence in grape cultivation. It also introduces methods for detecting grapevine flowers, grapes, and berries, and discusses the challenges in yield estimation.
Article
Agronomy
Catarina Esteves, David Fangueiro, Ricardo P. Braga, Miguel Martins, Manuel Botelho, Henrique Ribeiro
Summary: Precision fertilization using remotely sensed data, specifically soil electrical conductivity (ECa) and normalized difference vegetation index (NDVI), provides a cost-effective solution to identify soil fertility variability. Combining these two indicators allows for the delineation of different management zones and the discovery of soil fertility differences and ionic imbalances for targeted fertilization and soil management.
Article
Engineering, Civil
Muhammad Abrar Faiz, Yongqiang Zhang, Xiaoqiang Tian, Jing Tian, Xuanze Zhang, Ning Ma, Santosh Aryal
Summary: A combination of in-situ climatic variables and remote sensing data is used to assess the dryness of planetary ecosystems. The drought index (DI) is compared with other indices for different land cover classes in China, showing comparable performance in capturing the impact of drought on vegetation photosynthesis. DI is also positively correlated with crop yield.
JOURNAL OF HYDROLOGY
(2022)
Article
Agriculture, Multidisciplinary
B. Oger, P. Vismara, B. Tisseyre
Summary: This research introduces a new approach for yield sampling in viticulture, utilizing auxiliary information and path optimization to create consistent sampling strategies. Through combining potential sampling points and minimizing route distance, the approach greatly reduces sampling time and improves estimation accuracy by up to 30% compared to previous methods.
PRECISION AGRICULTURE
(2021)
Article
Agronomy
Marco Sozzi, Silvia Cantalamessa, Alessia Cogato, Ahmed Kayad, Francesco Marinello
Summary: This paper evaluates six versions of the YOLO object detection algorithm for real-time bunch detection and counting in grapes. The results show that YOLOv4-tiny achieves the best combination of accuracy and speed, making it suitable for real-time grape yield estimation.
Article
Agriculture, Multidisciplinary
Elizabeth Haruna Kazama, Rouverson Pereira da Silva, Tiago de Oliveira Tavares, Ligia Negri Correa, Francisca Nivanda de Lima Estevam, Francisca Edcarla de Araujo Nicolau, Walter Maldonado Junior
Summary: The study compared the effects of selective harvesting and one-time total harvesting, and found that it was not possible to only harvest ripe fruits regardless of the management zone. The tested harvester settings did not change the amount of fruits harvested, and higher operational speed was recommended for economic reasons.
PRECISION AGRICULTURE
(2021)
Article
Agriculture, Multidisciplinary
A. Kasimati, V. Psiroukis, N. Darra, A. Kalogrias, D. Kalivas, J. A. Taylor, S. Fountas
Summary: Vegetation indices, especially the normalised difference vegetation index (NDVI), are used to determine management units and explain vineyard production. This study compares NDVI maps from different sensing technologies and assesses the correlation between NDVI and crop production. The results showed similarities between NDVI values from similar sensors, but differences between proximal and airborne/spaceborne observations. Correlation analysis revealed high correlations between NDVI layers and grape yield and quality, with correlations increasing as the season progressed. Proximal sensors and UAV's management units were found to explain the variability in yield and quality better than other sensors.
PRECISION AGRICULTURE
(2023)
Article
Agriculture, Multidisciplinary
Susan S. Hubbard, Myriam Schmutz, Abdoulaye Balde, Nicola Falco, Luca Peruzzo, Baptiste Dafflon, Emmanuel Leger, Yuxin Wu
Summary: This study in Bordeaux vineyards explores the relationship between soil classes and grapevine vigor using simple statistical methods and high-resolution datasets. Results indicate a strong correlation between soil classes and grapevine vigor, providing valuable insights for vineyard management and replanting.
PRECISION AGRICULTURE
(2021)
Article
Chemistry, Multidisciplinary
Defeng Qi, Jie Xu, Yitong Zhou, Hao Zhang, Jianqiao Shi, Kun He, Yifei Yuan, Jun Luo, Shun Wang, Yong Wang
Summary: Novel cyclodextrin-supported Co(OH)2 cluster catalysts were prepared, which exhibited remarkable H2O2 selectivity, good stability, and ultra-high H2O2 production yield rate, showing great potential for industrial application.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Agriculture, Multidisciplinary
Filippo Sgroi
Summary: This study presents the economic benefits of mechanical harvesting in wineries. By estimating production costs and profitability of two grape cultivars, it is found that introducing a grape harvester improves profit margins. The results show that using the machine on a minimum business area of 41.62 ha or renting it is cost-effective.
JOURNAL OF AGRICULTURE AND FOOD RESEARCH
(2023)
Article
Agronomy
Daniela Bustos-Korts, Martin P. Boer, Jamie Layton, Anke Gehringer, Tom Tang, Ron Wehrens, Charlie Messina, Abelardo J. de la Vega, Fred A. van Eeuwijk
Summary: This study evaluates self-organizing maps (SOM) to identify adaptation zones and visualize genotypic responses to multiple environments. The results show that grouping trial locations into adaptation zones can enhance the selection of well-adapted varieties. The study demonstrates the potential of SOM-based strategies in analyzing genotype-by-environment interactions.
THEORETICAL AND APPLIED GENETICS
(2022)
Article
Agronomy
Panagiotis Kanatas, Ioannis Gazoulis, Nikolaos Antonopoulos, Alexandros Tataridas, Ilias Travlos
Summary: This study evaluated the efficacy and selectivity of commercial herbicide products in durum wheat by measuring the Normalized Difference Vegetation Index (NDVI). The results showed that NDVI can be used as a reliable indicator of herbicide efficacy and selectivity in winter cereals.
Article
Geochemistry & Geophysics
Dominique Henry, Herve Aubert, Patrice Galaup, Thierry Veronese
Summary: This article discusses the use of a mobile millimeter-wave radar system for estimating vineyard yield. The study proposes a yield estimation method based on the classification of radar echoes measured for different grape varieties, meteorological conditions, and grape development stages. With yield estimation errors found to be lower than 10%, the radar technique is deemed suitable for precision viticulture applications.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
G. Yang, L. F. Zhao, X. B. Xie, L. Zhang, Z. X. Yao
Summary: In this study, a high-precision relative location method was explored to simultaneously determine the relative epicenter and source elevation by using differential traveltimes from both downward-takeoff Pn waves and horizontal-takeoff Pg waves. By jointly applying both types of waveform data, the proposed method significantly enhances the constraint on the source depth variation, and successfully applied to regional seismic data from China, South Korea, and Japan.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Multidisciplinary Sciences
Marco Sozzi, Silvia Cantalamessa, Alessia Cogato, Ahmed Kayad, Francesco Marinello
Summary: National and international Vitis variety catalogues can serve as image datasets for computer vision in viticulture. However, the current datasets have limitations. To overcome these limitations, a new dataset of images and labels was created for the identification of multiple clusters in white grape varieties.
Article
Agronomy
Jose A. Martinez-Casasnovas, Leire Sandonis-Pozo, Alexandre Escola, Jaume Arno, Jordi Llorens
Summary: This study analyzes the feasibility of using vegetation indices derived from UAV images to estimate the key structural and geometric canopy parameters of an almond orchard. The created classes based on the vegetation indices were also assessed for delineating potential management zones. The results show that the normalized NDVI achieved the highest correlations and can be used to define potential management zones.
Article
Agronomy
Chenyao Yang, Christoph Menz, Helder Fraga, Sergi Costafreda-Aumedes, Luisa Leolini, Maria Concepcion Ramos, Daniel Molitor, Cornelis van Leeuwen, Joao A. Santos
Summary: This paper conducted a retrospective analysis on important European wine regions to evaluate the impact of water stress on vineyards. The results showed that the mean Crop Water Stress Indicator (CWSI) during the flowering-veraison phase had a significant effect on potential Yield Lose Rate (YLR). Different patterns of drought conditions and YLR were found between wine regions in France-Germany-Luxembourg and Italy Portugal-Spain. Additionally, the study found that an advanced flowering-veraison phase could alleviate CWSI and reduce YLR. The findings have important implications for the management of rainfed vineyards and provide insights for addressing seasonal water deficits under climate change.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Biophysics
M. C. Ramos, F. Martinez de Toda
Summary: The development and quality of grapes are influenced by soil and weather conditions. This study analyzed the phenology and grape composition of the Carignan cultivar in Rioja DOCa over a 13-year period. The findings suggest that warming temperatures could lead to earlier growth stages for this grape variety, but may not have a significant impact on grape quality.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2022)
Article
Agriculture, Multidisciplinary
Maria Concepcion Ramos, Fernando Martinez de Toda
Summary: This research analyzes the influence of climatic conditions on the phenology and grape composition of Macabeo. The study reveals that climate variability has a significant impact on grape yield and quality.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2022)
Article
Environmental Sciences
Luca Grandinetti, Carlos Cantero-Martinez, Maria Concepcion Ramos
Summary: This research examines the impact of no-tillage versus conventional tillage on soil aggregate stability under irrigation. The results show that conventional tillage increases soil sealing susceptibility and decreases soil aggregate stability, while no-tillage can reduce soil sealing and improve soil aggregate stability.
LAND DEGRADATION & DEVELOPMENT
(2022)
Article
Agriculture, Multidisciplinary
L. Sandonis-Pozo, J. Llorens, A. Escola, J. Arno, M. Pascual, J. A. Martinez-Casasnovas
Summary: Continuous monitoring of canopy status is crucial for effective orchard management. This study proposes using multispectral vegetation indices to estimate orchard parameters from remote sensing images as an alternative to time-consuming processing techniques. The results demonstrate the feasibility of this approach for precise delineation of management zones.
PRECISION AGRICULTURE
(2022)
Article
Environmental Sciences
Domenico Giora, Alberto Assirelli, Silvia Cappellozza, Luigi Sartori, Alessio Saviane, Francesco Marinello, Jose A. Martinez-Casasnovas
Summary: This study investigates the possibility of using satellite imaging to monitor leaf harvesting in mulberry plants and relates quantitative parameters on silk cocoon production to vegetation indices analysis. The results show a correlation between the decrease in multispectral vegetation indices in the mulberry plots due to leaf harvesting and the quantitative parameters of silk cocoon production.
Article
Environmental Sciences
Leticia Gaspar, Trenton E. Franz, Arturo Catala, Ivan Lizaga, Maria Concepcion Ramos, Ana Navas
Summary: To ensure sustainable agricultural management, understanding the soil erosion rates and soil water content under different conditions is vital. This study utilizes cosmic-ray neutron sensors and fallout 137Cs as novel approaches to explore the relationship between soil water content and soil redistribution processes. Results show that the neutron sensors effectively capture soil moisture dynamics and highlight the sensitivity of soil water content to parent material. The study also finds that soil type significantly influences soil moisture spatial variability, impacting soil erosion and sedimentation rates.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Maria Concepcion Ramos, Ivan Lizaga, Leticia Gaspar, Ana Navas
Summary: This study investigated phosphorus (P) delivery and transport during flood events in an agroforestry catchment. Sediments were collected from five locations in the catchment over a period of 5 years, and properties such as particle size, soil organic matter, low frequency magnetic susceptibility, and P and Ti concentrations were analyzed. The results showed that the sediment exhibited enrichment in P compared to the sediment sources, with higher P concentrations associated with clay and organic matter-rich sediment. The highest P losses were recorded at the catchment outlet, where cropland was dominant. The differences in monitoring campaigns were attributed to variations in precipitation patterns, which influenced the hydrological response.
LAND DEGRADATION & DEVELOPMENT
(2023)
Article
Horticulture
Leire Sandonis-Pozo, Jose A. Martinez-Casasnovas, Jordi Llorens, Alexandre Escola, Jaume Arno, Miquel Pascual
Summary: Understanding the relationship between nitrogen (N), tree growth and yield is crucial for maximizing productivity and sustainability. This study analyzed the effect of N on canopy development and its relation with yield in a super-intensive almond orchard in Spain. The findings suggest that different N treatments had varying effects on canopy parameters and yield, providing evidence to support N management in super-intensive orchards.
SCIENTIA HORTICULTURAE
(2023)
Review
Agronomy
Juan C. Miranda, Jordi Gene-Mola, Manuela Zude-Sasse, Nikos Tsoulias, Alexandre Escola, Jaume Arno, Joan R. Rosell-Polo, Ricardo Sanz-Cortiella, Jose A. Martinez-Casasnovas, Eduard Gregorio
Summary: The size of fruits at harvest is crucial for high-quality table fruit production in orchards and vineyards. Recent advancements in deep learning convolutional neural networks have made automatic fruit detection more accurate and efficient. Various methods have also been developed for fruit sizing and maturity estimation.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2023)