Fontelis at 10 to 24 fl oz/A on 7- to 14-day intervals.Endura at 2.5 to 3.5 oz/A on 7- to 14-day intervals.Do not make more than two (2) sequential applications before alternating to a labeled fungicide with a different mode of action. Carboxamide (Group 7) formulations are registered for use.Use pathogen-free soil and equipment in the greenhouse or seedbed.Ĭhemical control Spray at regular intervals. Irrigate so that leaves dry fairly quickly.Alternatively, hot compost or incorporate into the soil soon after harvest. Remove and destroy plant debris at year-end.Maintain plant vigor and proper fertilization.Eradicate weed hosts and volunteer tomato plants. Rotate with nonhost crops for 3 to 4 years.Seedlings may have circular or elongated lesions with concentric markings on the stem, which will girdle the plant. Infected mature or immature fruit frequently fall from the plant. The dark, dry decay may extend some depth into the fruit. Older fruit develop dark, leathery, sunken spots that may be quite large with concentric markings similar to those on diseased leaves. Defoliation may be severe if environmental conditions are favorable, exposing the fruit to sun scald. Some spotting may be on older leaves early in the season, but the greatest injury usually is as fruit begins to mature. If spots are numerous, the entire leaf will be yellowed. Leaf tissue around the spots turns yellow. Spots enlarge to 0.25 to 0.5 inch in diameter, and they commonly show ridged concentric rings in a target pattern. Symptoms Small, irregular, blackish brown spots usually first appear on older leaves. The disease is not common in Oregon, particularly west of the Cascade Range. Infection is favored by temperatures of 75☏ to 84☏, high moisture, and low soil fertility. The fungus can survive on infected plant refuse in soil or overwinter on solanaceous plants. The fungus may be on or in seed, but internal infection is rare in seed produced commercially. solani), a fungus that may also attack horsenettle, nightshade, and other wild plants related to tomato. This scheme can be applied to the monitoring and identification of other crops diseases during the incubation period, to provide a reference for the scientific prevention and control of crop diseases during the incubation period.Potato ( Solanum tuberosum) - Early BlightĬause Alternaria tomatophilai (formerly A. The experimental results show that the hyperspectral image monitoring and identification model of crop disease incubation period established in this paper can effectively realize the monitoring and identification of tomato early blight incubation period. The parameters of the LightGBM model were optimized by the Bayesian parameter optimization algorithm, and the accuracy of the optimized recognition model was 96.43% and 97.22% on the training and test sets, respectively, and the effectiveness and robustness of the recognition model were verified using the confusion matrix and ROC curve. Through test analysis, the accuracy of the training set and the test set was 95.24% and 97.72%, respectively. For a series of hyperspectral images of tomato leaves taken continuously to see the disease evolution process, after the European distance is proposed as the evaluation parameters of the disease incubation period, the T-Distributed Stochastic Neighbor Embedding (T-SNE) algorithm being used to realize the separability of the distribution of hyperspectral image samples incubation period, the preferred method of the ratio of class distance and class distance being established as hyperspectral image pretreatment, the Grey Wolf Optimizer (GWO) algorithm being used to screen out 24 characteristic wavelengths in hyperspectral images of the tomato early blight incubation period, the high spectral image recognition model of tomato early blight incubation period has established with the LightGBM model. Based on hyperspectral imaging technology having the advantages of being nondestructive and fast, a monitoring scheme is designed to continuously collect tomato leaves inoculated with Alternaria solani with a hyperspectral imaging system (working band 400~1000nm)in this paper. Research on the monitoring and identification of tomato early blight incubation period can provide scientific prevention and control basis for agricultural production before these symptoms can be seen by eyes, for that Tomato early blight has the characteristics of a wide incidence range and great destruction.
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