No abstract

In order to explore the possibility of crop estimation, data mining approach being multidisciplinary was followed. The district of Ranga Reddy, Telangana State, India has been chosen for the study and its year wise average yield data of rice and daily weather over a period of 31 years i.e. from 1988-2019 (30th to 47th Standard Meteorological Weeks). Data mining tool WEKA (V3.8.1). Min- Max Normalization technique followed by Feature Selection algorithm, ‘cfsSubsetEval’ was also adopted to improve quality and accuracy of data mining algorithms. Thus, after cleaning and sorting of data, five classifiers viz., Logistic, MLP (Multi Layer Perceptron), J48 Classifier, LMT (Logistic Model Trees) and PART Classifier were employed over the trained data. The results indicated that the function based and tree based models have better performance over rule based model. In case of function based two models examined, viz., Logistic and MLP, the later performed better over Logistic model. Between tree based two models, LMT performed better over J48. Thus, MLP classifier model found to be the best fit model in predicting rice yields as it recorded an accuracy of 74.19 %, sensitivity of 0.742 and precision of 0.743 as compared with other models. The MLP has also achieved the highest F1 score of (0.742) and MCC (0.581).

A field experiment entitled “Influence of plant density vis-à-vis architecture on Bt cotton (Gossypium hirsutum L.) yield and quality parameters” was carried out on sandy loam soil at College farm, College of Agriculture, PJTSAU, Rajendranagar, Hyderabad during 2021-22. The experiment was laid out in split plot design with three replications. Results revealed that plant densities, plants sown under planting density of 90 x 20 cm (55,555 plants ha-1) recorded highest growth contributing characters such as plant height, dry matter production, first fruiting node length, internode length and height node ratio. Planting density of 90 x 30 cm (37,037 plants ha-1) has recorded significantly higher number of sympodial branches and no of nodes per plant during 2021 and 2022 and pooled mean. Length of fruiting branches from node 5 to 15, length of fruiting branches from node 15 to terminal, length of all fruiting branches, distance from main stem to first boll position from node 5 to 15, distance from main stem to first boll position from node 15 to terminal, distance from main stem to first boll position of all fruiting branches, internode diameter, days to initiation of sympodial branches, days to square initiation, days to 50% flowering, days to boll formation, days to boll bursting stage were found to be highest in plants spaced at 90 x 60 cm (18,518 plants ha-1) during two years of study and pooled mean. Interaction was found to be significant on drymatter production at 120 DAS and found highest in treatment combination of semi open plant type (Sadanand) and 90 x 20 cm (55,555 plants ha-1) during 2021 and 2022 and pooled mean. Number of monopodial branches and days to initiation of monopodial branches were showed non-significant results.