American Journal Of Agriculture And Horticulture Innovations

Assessing Nitrogen Fertilizer Efficacy In Hardy Kiwi (Actinidia Arguta): A UAV-Multispectral Approach For Chlorophyll-Based Nutrient Monitoring

Dr. Eleanor Vance — 2025-10-01

Background: Optimal nitrogen (N) management is crucial for the productivity and quality of hardy kiwi (Actinidia arguta), yet traditional methods for monitoring plant N status are often destructive and labor-intensive. Unmanned Aerial Vehicles (UAVs) equipped with multispectral sensors offer a non-destructive, high-throughput alternative for precision nutrient management. The strong correlation between leaf chlorophyll and nitrogen content provides a basis for spectrally estimating plant N status [17, 24]. This study aimed to develop and validate a UAV-based methodology to monitor fertilizer effects in hardy kiwi by estimating canopy chlorophyll content.

Methods: A field experiment was conducted in a hardy kiwi orchard with four distinct nitrogen fertilizer treatments. High-resolution multispectral imagery was acquired using a UAV platform at a key growth stage. Concurrently, ground-truth data, including leaf chlorophyll and nitrogen content, were collected from each experimental plot. A range of vegetation indices (VIs) derived from the multispectral data were calculated. Regression analysis was performed to build predictive models linking the VIs to the measured leaf chlorophyll content, and the models were validated using standard statistical metrics.

Results: The fertilizer treatments successfully established a significant gradient in leaf chlorophyll and nitrogen content. Strong correlations were observed between several VIs and the ground-truthed chlorophyll data. Red-edge based indices, such as the Canopy Chlorophyll Content Index (CCCI) [23], demonstrated the highest predictive power. The developed regression model accurately estimated leaf chlorophyll content with a high coefficient of determination (R2>0.80) and low Root Mean Square Error (RMSE). The resulting chlorophyll maps clearly visualized the spatial variability and differentiated the crop response across the N treatments.

Conclusion: UAV-based multispectral remote sensing is an effective and reliable tool for the non-destructive estimation of chlorophyll content in hardy kiwi canopies. This approach enables precise, in-season monitoring of plant nitrogen status, providing growers with actionable data for site-specific fertilizer management to enhance sustainability and productivity.

On The Question Of Mechanized Planting Of Forest Crops On Slopes

Khazratkulov Shermat Azamovich — 2025-10-24

This article presents the results of an analysis of conducted scientific research on seedling planting with simultaneous microterracing and determines that to ensure high-quality planting of forest crops on slopes with a steepness of up to 20°, a grader blade should have a cutting edge length of 800 mm.

Morpho-Phenological Development Indicators Of Tomato Plants In Karakalpakstan Conditions

Qoniratbaev Azamat Baxit ug'li — 2025-10-20

This study presents the results of phenological observations of tomato (Solanum lycopersicum L.) under the conditions of Karakalpakstan. The findings revealed significant variation in morpho-phenological traits among the experimental variants. Plant height ranged from 23.3 to 28.9 cm, the number of branches varied between 6.8 and 10.1, while the number of flowers ranged from 16.5 to 19.5 per plant. The highest values were recorded in Variant 4, which demonstrated superior vegetative and generative development compared to other variants. These results are of great importance for evaluating the adaptability and yield potential of tomato.

Improvement Of The Technology And Technical Means For Cleaning Closed Horizontal Drainage Systems From Sediments In Irrigated Lands

Zulfiya Kannazarova — 2025-10-17

This article analyzes the methods and technical means of cleaning the closed horizontal drainage system from sediments in irrigated lands. Closed horizontal drainage cleaning devices are classified according to the type, shape of the working head and structural features. The use of the recommended closed horizontal drainage cleaning head in drainage cleaning allows reducing manual labor, water consumption, fuel and labor costs in cleaning closed horizontal drainage from sediments.

Stability Of Movement In The Vertical Plane Of Working Tools During Interrow Cultivation Of Vineyards On Terraces

Utaganov Khusan Baimatovich — 2025-10-27

The difference in ∆Z values determined in this article using theoretical methods should be explained by certain assumptions made in the analytical studies (microrelief was not taken into account), as well as by errors in the experimental studies.

Cultivation Of Cotton Using Drip Irrigation Technology

S. Kh. Isayev — 2025-10-24

The article presents the results of an experiment conducted on meadow-alluvial soils of the Bukhara region, where the groundwater table is at a depth of 2.0–2.5 m. In the experimental cotton field irrigated using drip irrigation, when the pre-irrigation soil moisture was maintained at 75–80–65% of the field capacity (FC), the cotton was irrigated four times according to the 0-4-0 irrigation scheme. No irrigation was applied during the period from germination to flowering, while during the flowering–boll formation stages, four irrigations were carried out with irrigation rates ranging from 616 to 651 m³/ha. The total seasonal irrigation norm amounted to 2521–2537 m³/ha, which is 1594–1633 m³/ha less compared to the control variant, indicating significant water savings.

Statistical Analysis And Forecasting Of The Dynamics Of Harvested Grapes In The Republic Of Uzbekistan

Faiziev Jamoliddin Nasirovich — 2025-10-20

Observations of phenomena whose characteristics change over time generate an ordered sequence known as a time series. In this research, a statistical time series test was applied to examine the statistical regularity of the average yearly volume (y_t) ̅- of harvested grapes in the Republic of Uzbekistan, based on data from the Central Statistical Office of Uzbekistan for the period 2012–2024. Point and interval predictions (with a 95% confidence level) were constructed for the mean annual volume of harvested grapes in the country. The explicit forms of trend models were identified, and forecasts were made for the predicted grape harvest volumes in the coming years. Using the Durbin–Watson statistical test, it was established that the average volume of harvested grapes in Uzbekistan exhibits autocorrelation dependence.