Smart Agricultural Technology, Год журнала: 2024, Номер unknown, С. 100765 - 100765
Опубликована: Дек. 1, 2024
Язык: Английский
Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 119 - 138
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Black Sea Journal of Agriculture, Год журнала: 2024, Номер 7(4), С. 407 - 417
Опубликована: Июль 15, 2024
Determining canopy cover (CC) temporal variation is critical for sustainable management of natural resources and environmental protection efforts. Data analysis interpretation methods remote sensing are important understanding these changes adapting to systems. In this study used the Parcel Identification System (LPIS) database physical blocks as field ground data. area, agricultural areas were determined from LPIS data, including classes A0, A1, A3, A4, S1, T0, T1, a total 8424 an area 14651.9 hectares evaluated. CC estimates made using 3-m spatial resolution Planet Scope multispectral satellite images July August 2023, it was that there significant differences in parcel-based distinctions, especially parcels T1 (P<0.05). According results, estimated A0 (69.27%) T0 (30.43%) land types could be successfully determine phenological period caused by impact assessment such climate change. At same time, contributes rapid monitoring production change within determination management, support payments with regard, use modern technologies data will contribute increasing sustainability.
Язык: Английский
Процитировано
1
Frontiers in Plant Science, Год журнала: 2024, Номер 15
Опубликована: Авг. 20, 2024
Developing an efficient and sustainable precision irrigation strategy is crucial in contemporary agriculture. This study aimed to combine proximal remote sensing techniques show the benefits of using both monitoring methods, simultaneously assessing water status response ‘Calatina’ olive under two distinct levels: full (FI), drought stress (DS, -3 -4 MPa). Stem potential (Ψ stem ) stomatal conductance (g s were monitored weekly as reference indicators plant status. Crop index (CWSI) (Ig) calculated through ground-based infrared thermography. Fruit gauges used monitor continuously fruit growth data converted daily weight fluctuations (ΔW) relative rate (RGR). Normalized difference vegetation (NDVI), normalized RedEdge (NDRE), green (GNDVI), chlorophyll (CVI), modified soil-adjusted (MSAVI), (WI), greenness (NDGI) (GI) from collected by UAV-mounted multispectral camera. Data obtained correlated with Ψ g , while only . Regression analysis showed that CWSI Ig proved be reliable Of parameters, ΔW exhibited a stronger relationship, primarily Finally, NDVI, GNDVI, WI NDRE emerged indices most strongly achieving high R 2 values. Combining suggested valid approaches: more simplified one involving use either NDVI or WI, comprehensive indices, along index. Further studies on combining will necessary order find strategic combinations sensors establish intervention thresholds.
Язык: Английский
Процитировано
1
Water, Год журнала: 2024, Номер 16(15), С. 2186 - 2186
Опубликована: Авг. 1, 2024
The continuous and reliable assessment of crop water status through indicators enables the sustainable management resources, especially in arid or semi-arid climate scenarios exacerbated by change. Therefore, main objective this study is to determine compare sensitivity indices derived from trunk diameter fluctuations for accurate automatic detection changes cherry trees. stress examined are maximum daily shrinkage (MDS), growth rate (TGR), early (EDS), late (LDS). During two growing seasons, ‘Lapins’ sweet trees were subjected different levels: (i) a control treatment irrigated at 115% evapotranspiration demand ensure non-limiting conditions, (ii) deficit irrigation treatment, with withholding cycles. Vegetative was affected stress. Trunk exhibited high variability did not clearly show differences plant status. Both EDS MDS showed third-degree polynomial relationship Ψstem. had lineal Ψstem up −1.4 MPa; however, further decreases necessarily lead increased MDS. In contrast, became non-linear −1.8 MPa, making it more useful indicator than when detecting severe conditions. frequencies both decreased 85% 35% increased. information provided frequencies, along their values, could be as tools
Язык: Английский
Процитировано
0
Drones, Год журнала: 2024, Номер 8(10), С. 585 - 585
Опубликована: Окт. 17, 2024
With the growing demand for efficient solutions to face challenges posed by population growth and climate change, use of unmanned aerial vehicles (UAVs) emerges as a promising solution monitoring biophysical physiological parameters in forage crops due their ability collect high-frequency high-resolution data. This review addresses main applications UAVs crop characteristics, addition evaluating advanced data processing techniques, including machine learning, optimize efficiency sustainability agricultural production systems. In this paper, Scopus Web Science databases were used identify assessment. Based on inclusion exclusion criteria, search resulted 590 articles, which 463 filtered duplicates 238 selected after screening. An analysis revealed an annual rate 35.50% evidencing interest theme. 1086 authors, 93 journals 4740 citations reviewed. Finally, our results contribute scientific community consolidating information precision farming, offering solid basis future research practical applications.
Язык: Английский
Процитировано
0
Computers and Electronics in Agriculture, Год журнала: 2024, Номер 227, С. 109547 - 109547
Опубликована: Ноя. 5, 2024
Язык: Английский
Процитировано
0
Biosensors, Год журнала: 2024, Номер 14(12), С. 583 - 583
Опубликована: Ноя. 30, 2024
The real-time monitoring of plant water status is an important issue for digital irrigation to increase productivity. This work focused on a comparison three biosensors that continuously evaluate status: trunk microtensiometers (MTs), time-domain reflectometry (TDR), and LVDT sensors. During the summer autumn seasons (DOY 150–300), nectarine trees were subjected four different consecutive periods based soil Management Allowed Deficit (MAD) concept, namely: MAD10 (light deficit); MAD50 (moderate MAD100 (severe deficit), MAD0 (full irrigation). Measurements stem potential (Ψstem) leaf gas exchange recorded representative days. A continuous measurement Ψtrunk, MDS, Ktrunk revealed deficits imposed soil. highest deficit observed at end period (Ψstem = −2.04 MPa Ɵv 17%) resulted in minimum value Ψtrunk (−1.81 MPa). maximum MDS (408 µm) was earlier than motivated by low sensitivity < −1.2 Ψstem −1.5 due decrease tissue elasticity when severe conditions are reached. Both more dependent content, while responsive environmental changes. weakest indicator determining status, although expressed as daily fraction depletion (KtrunkFD), it improved, evidencing process hysteresis. showed sensitivity, suggesting use MTs valuable biosensor agrosystems.
Язык: Английский
Процитировано
0
Plant and Soil, Год журнала: 2024, Номер unknown
Опубликована: Дек. 27, 2024
Язык: Английский
Процитировано
0
Smart Agricultural Technology, Год журнала: 2024, Номер unknown, С. 100765 - 100765
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
0