PRISMA4AFRICA: Leveraging Hyperspectral and Thermal Data Integration for Enhanced Food Security DOI
Saham Mirzaei, A. Tricomi,

Roberta Bruno

и другие.

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Год журнала: 2024, Номер unknown, С. 2709 - 2712

Опубликована: Июль 7, 2024

Язык: Английский

Continuous Plant-Based and Remote Sensing for Determination of Fruit Tree Water Status DOI Creative Commons
Alessandro Carella, Pedro Tomás Bulacio Fischer, Roberto Massenti

и другие.

Horticulturae, Год журнала: 2024, Номер 10(5), С. 516 - 516

Опубликована: Май 16, 2024

Climate change poses significant challenges to agricultural productivity, making the efficient management of water resources essential for sustainable crop production. The assessment plant status is crucial understanding physiological responses stress and optimizing practices in agriculture. Proximal remote sensing techniques have emerged as powerful tools non-destructive, efficient, spatially extensive monitoring status. This review aims examine recent advancements proximal methodologies utilized assessing status, consumption, irrigation needs fruit tree crops. Several proved useful continuous estimation but strong limitations terms spatial variability. On contrary, technologies, although less precise estimates, can easily cover from medium large areas with drone or satellite images. integration would definitely improve assessment, resulting higher accuracy by integrating temporal scales. paper consists three parts: first part covers current plant-based tools, second techniques, third includes an update on combined use two methodologies.

Язык: Английский

Процитировано

11

Relating microtensiometer-based trunk water potential with sap flow, canopy temperature, and trunk and fruit diameter variations for irrigated ‘Honeycrisp’ apple DOI Creative Commons
Víctor Blanco, Lee Kalcsits

Frontiers in Plant Science, Год журнала: 2024, Номер 15

Опубликована: Май 24, 2024

Instrumentation plays a key role in modern horticulture. Thus, the microtensiomenter, new plant-based sensor that continuously monitors trunk water potential (Ψ ) can help irrigation management decisions. To compare response of Ψ with other continuous tree status indicators such as sap flow rate, difference between canopy and air temperatures, or variations fruit diameter, all sensors were installed 2022 commercial orchard ‘Honeycrisp’ apple trees M.9 rootstocks Washinton State (USA). From daily evolution , five considered: predawn, midday, minimum, mean, range (the maximum minimum values). The was most linked to shrinkage (MDS; R 2 = 0.42), canopy-to-air temperature (Tc-Ta; 0.32), rate (SF; 0.30). On hand, relative growth (FRGR) more related (R 0.33) mean 0.32) than . All derived from identified changes after each event had low coefficients variation high sensitivity. These results encourage promising candidate for monitoring status, however, research is needed better relate these measures widely studied identify good combinations threshold values.

Язык: Английский

Процитировано

5

Assessing accuracy of crop water stress inversion of soil water content all day long DOI
Bei Zhang, Jialiang Huang,

Tianjin Dai

и другие.

Precision Agriculture, Год журнала: 2024, Номер 25(4), С. 1894 - 1914

Опубликована: Апрель 24, 2024

Язык: Английский

Процитировано

4

Inoculation and conservation of the biocontrol agent European earwig in Washington pear orchards DOI Creative Commons
Robert J. Orpet, R. T. Curtiss, Katlyn A Catron

и другие.

Entomologia Experimentalis et Applicata, Год журнала: 2025, Номер unknown

Опубликована: Янв. 3, 2025

Abstract European earwig, Forficula auricularia L. sensu lato (Dermaptera: Forficulidae), is a univoltine, resident, omnivorous species and beneficial predator in pome fruit orchards. Here, three methods were used to investigate pear ( Pyrus communis L., Rosaceae) orchard inoculation with earwig for biocontrol of psylla, Cacopsylla pyricola (Foerster) (Hemiptera: Psyllidae), Washington State, USA. The first method was experiments. In experiment (2019–2020), each orchards had one control plot. second (2020–2021), there four plots the same both experiments, earwigs persisted during year inoculation, but nearly absent following season at two that conventional broad‐spectrum pesticides. At third orchard, which excluded pesticides under an integrated pest management (IPM) program, became abundant experiment. case studies. studies, 2016, 2017, 2022, 2023, half from above, sprays used. Earwig populations low half. study, after by grower. Earwigs spread edge spilled into neighboring years four. observational study 36 over 5 years. rarely found conventionally sprayed orchards, increased additional findings suggest spray programs eradicate earwigs, can recover natural dispersal refuges or inoculative releases.

Язык: Английский

Процитировано

0

Using Low-Cost Proximal Sensing Sensors for Detecting the Water Status of Deficit-Irrigated Orange Orchards in Mediterranean Climatic Conditions DOI Creative Commons
Sabrina Toscano, Simona Consoli, Giuseppe Longo-Minnolo

и другие.

Agronomy, Год журнала: 2025, Номер 15(3), С. 550 - 550

Опубликована: Фев. 24, 2025

Water scarcity in the Mediterranean significantly affects sustainability of citrus cultivation eastern Sicily, a key production area Italy. Innovative monitoring approaches are crucial for assessing water status and applying precise irrigation strategies. This study evaluates potential low-cost proximal sensors based on thermal infrared (TIR) (e.g., canopy temperature, Tc; ΔT; crop stress index, CWSI) visible near-infrared (VNIR) normalized difference vegetation NDVI) data, combined with stem (SWP), determining proxies across four fields under different regimes (full irrigation, FI, deficit DI) cultivar/rootstock combinations. Temporal spatial differences were detected most variables during season. A 6% decrease NDVI corresponded to higher Tc values July (up 37.6 °C). CWSI highlighted cumulative deficits, reaching 0.65 ± 0.15 September. More negative SWP (−1.91 0.38 MPa) found DI compared FI (−1.70 0.17 conditions. Microclimatic influenced ΔT, lower 3–4, despite site-specific SWP, NDVI, variations. The use VNIR TIR tools provided valuable insights describing temporal variability indicators conditions, supporting their sustainable management.

Язык: Английский

Процитировано

0

Evaluation of pear orchard yield and water use efficiency at the field scale by assimilating remotely sensed LAI and SM into the WOFOST model DOI
Liang Jiang, Feilong Zhang, Jianan Chi

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 233, С. 110145 - 110145

Опубликована: Фев. 27, 2025

Язык: Английский

Процитировано

0

Interannual carry-over effects of severe drought on field-grown young pear trees DOI Creative Commons
Víctor Blanco, Lee Kalcsits

Agricultural and Forest Meteorology, Год журнала: 2025, Номер 367, С. 110502 - 110502

Опубликована: Март 29, 2025

Язык: Английский

Процитировано

0

The Impact of Water Deficit at Various Growth Stages on Physiological Characteristics, Fruit Yield, and Quality of Drip-Irrigated Jujube Trees DOI Creative Commons
Qiang Wei, Pengrui Ai,

Yingjie Ma

и другие.

Agronomy, Год журнала: 2025, Номер 15(5), С. 1205 - 1205

Опубликована: Май 16, 2025

The long-term arid climate in Xinjiang poses a major challenge to sustainable jujube production. In this study, we systematically evaluated the impacts of deficit irrigation (DI) by comparing full control (CK) with six DI treatments—mild (75% CK) and severe (50% water deficits applied during either flowering + fruit setting or enlargement stages. key findings demonstrate that effectively balances conservation productivity. Mild reduced 72 mm while maintaining near-optimal photosynthesis (95% recovery post-rewatering) significantly improving quality (5.49–10.28% higher sugar content, 3.40–5.06% larger volume), despite moderate 4.22–11.36% yield reduction. contrast, caused irreversible physiological stress (only 75% photosynthetic recovery), fruit-enlargement-stage uniformly compromised both size. An economic analysis confirmed mild as optimal, generating 17,139–20,550 RMB·ha−1 profit through enhanced use efficiency (WUE) premium-quality PLS-PM validation revealed targeted suppresses vegetative overgrowth optimizing source–sink relationships, achieving 23–31% WUE improvement without sacrificing marketable yield. Thus, is climate-smart strategy for Xinjiang’s industry, resolving scarcity challenges viability.

Язык: Английский

Процитировано

0

Relationships Between Midday Stem Water Potential and Soil Water Content in Grapevines and Peach and Pear Trees DOI Creative Commons
José Manuel Mirás‐Avalos, Emily Silva Araujo

Agronomy, Год журнала: 2025, Номер 15(5), С. 1257 - 1257

Опубликована: Май 21, 2025

Monitoring the water status of fruit orchards is required to optimize crop management and determine irrigation scheduling. For this purpose, capacitance probes are commonly used measure soil content (θs). However, when these not calibrated, estimates θs are, therefore, unreliable. Our objective was relate measurements probes, without a site-specific calibration, with reliable indicator (stem potential at solar noon (Ψstem)) rain-fed grapevines grown under contrasting strategies (tillage spontaneous vegetation) irrigated peach pear trees. During 2023 growing season, monitored in orchard vineyard northeast Spain using sensors three depths: 0.15, 0.30, 0.45 m. Correlation coefficients ranged from 0.75 0.87 trees, 0.53 0.56 0.90 grapevines, depending on depth. These relationships were significant for both trees but Under conditions study, uncalibrated could be useful assess grapevine tree real time limited

Язык: Английский

Процитировано

0

Evaluation of Computer Vision Systems and Applications to Estimate Trunk Cross-Sectional Area, Flower Cluster Number, Thinning Efficacy and Yield of Apple DOI Creative Commons
Luís Gonzalez Nieto, Anna Wallis, Jon Clements

и другие.

Horticulturae, Год журнала: 2023, Номер 9(8), С. 880 - 880

Опубликована: Авг. 3, 2023

Precision crop load management of apple requires counting fruiting structures at various times during the year to guide decisions. The objective current study was evaluate accuracy and compare different commercial computer vision systems applications estimate trunk cross-sectional area (TCSA), flower cluster number, thinning efficacy, yield estimation. These studies evaluated two companies that offer in a series trials across 23 orchards four states. Orchard Robotics uses proprietary camera system, Pometa (previously Farm Vision) cell phone system. cultivars used were ‘NY1’, ‘NY2’, ‘Empire’, ‘Granny Smith’, ‘Gala’, ‘Fuji’, ‘Honeycrisp’. TCSA flowering with full rows. Flowering, fruit set, estimation Pometa. Both compared manual measurements. Our results showed positive linear correlation between system measurements, but underestimated comparison measurements (R2s 0.5 0.79). nubers flowers counts 0.95). Thinning efficacy predictions (in June) using growth rate model, by comparing MaluSim app accurate when numbers fruits harvest lower than 200 fruit/tree, our suggest that, higher both methods overestimated final per tree 0.67 systems). Yield just before (August) fewer 75 tree, but, (R2 = 0.67). concluded smartphone offered advantages such as low cost, quick access, simple operation, precision. an advanced provided more detailed information terms geo-referenced for individual trees. are still early development have potential provide important orchard managers improve

Язык: Английский

Процитировано

7