Panel Regression Models for Paddy (Oryza sativa) Crop Production

The present investigation was carried out to study area production trends of Paddy crop grown in different districts of Tamil Nadu state, India during the period 1998-99 to 2010- 2020 based on Panel Regression Model. The statistically most suited Panel Regression model was selected based on Hausman and Wald test. The study variables namely the area under the Paddy crop (AREA) and the production (PRODN) of Paddy crop were found to be stationary at level. Analysis of variance test indicated that district to district crop productions were highly significant. Highest area under the crops and productions were registered in Tiruvarur, Thanjavur etc., Very lowest were registered in Coimbatore and Nilgiris districts. The fixed effect model was found to be suitable to study the trend and this model explains the 87% of variations in Paddy crop production.

Soil moisture balance and its application to yield monitoring of rainfed paddy at Raipur

The study presents a technique for computing soil moisture balance of paddy crop based on 10 years data from 1977-1988 except 1984 and 1987, from agro-meteorological observatory, Raipur Values of different components of the moisture balance have been determined and discussed. The stress values have been used to estimate possible yield reduction by devising an yield index. The study revealed that water demand of the plant is largest between tillering and reproductive stages. Dry matter production appears directly related to the consumptive water use. A significant association is observed between the yield index and the actual rice yield.

Impact of weather on lowland rice cultivation and planning decisions over humid tropical India

The present study investigates the effect of the climatic environment on three different varieties of paddy. Crop coefficient in different stages of growth, the consumptive uses and radiation use efficiency has been determined and discussed in each case. Ideal date which could give optimum yield, has been determined in two varieties. The yield was correlated with weather parameters for each of the phases of the crop growth by forward ranking method and a statistical prediction model developed. Path analysis was applied to the predictors thus selected and direct and indirect contribution of the predictors to yield determined and discussed.

Impact and Variability of Meteorological Parameters on Rice Crop at Siddharthnagar, Uttar Pradesh, India

The present study explores the impacts and variability of meteorological parameter on the rice yields at Siddharthnagar of Uttar Pradesh, India. This study that the maximum and minimum temperatures during the period 2011 to 2020 show increasing trends. Whereas the duration of sunlight increased in June and July. Whereas the rainfall data shows decreasing trends for the period August-September. Furthermore, this study suggests that there was a decrease in rainfall trends during the paddy growing period. A negative correlation was observed with rainfall, particularly during the duff stage, indicating that wetting during the flowering to maturity period may be decisive. This study suggests taking into account the variability of annual or seasonal temperatures and precipitation within the region. The warming trend and irregular precipitation over time may have a significant impact on paddy farming. As a result, plans must be developed to manage the impact of the current variability of meteorological parameters on the paddy yields in this district of Uttar Pradesh by developing appropriate alternatives for increasing paddy crop production.

Prediction and Analysis of Paddy Crops Disease in Artificial Intelligence Techniques

The survival of human beings is generally based on the proper productivity of agriculture. The paddy plant is considered as a major planting crop in improving the economical level of our country. Nowadays, the yield level of paddy crop might be minimized due to several diseases. Bacteria, fungi, virus and certain harmful insects are the main causative agents for such disease occurrence on the paddy crop. The diseases which affect the early stage of the paddy crops influences in the whole stage of crop cultivation. In early days of agriculture, the manual detection of diseases has been carried out by farmers. Image processing is one of the emerging techniques for identifying and classifying the different types of diseases and it overcomes the issues encountered during the manual detection of diseases. Image processing technique solves several issues involved in the cultivation of crops including, recognition and classification of plant diseases, discrimination of certain weeds and disease forecasting.

Trend and Instability Index Analysis in Paddy Crop Area, Productivity and Production across District in Andhra Pradesh, India

Paddy is the important, food grain, cereal crop, and staple food crop of India. India ranks second in production of paddy after China. This establishes the pressing need for the study of vulnerability and trend of paddy cultivation and productivity in India. Andhra Pradesh being one of the largest producers of paddy, the compound growth rate and instability in area, productivity and production of paddy in Andhra Pradesh was assessed after the remainder of the state of undivided Andhra Pradesh after bifurcation in 2014 with the jurisdiction of four Rayalaseema and nine Coastal Andhra districts. In this study, we have analyzed the trend & carried out instability index analysis in paddy crop area, productivity and production across district of Andhra Pradesh to explicate the trend in extent paddy cultivation and paddy productivity, district wise Cuddy-Della Valle-Instability Index (%) for the paddy cultivating area from 1991-92 to 2018-19, using the data collected from Directorate of Economics and Statistics, Andhra Pradesh. We assessed district wise Cuddy-Della Valle-Instability Index (%) in paddy productivity from 1991-92 to 2018-19 and found that in Andhra Pradesh, the area of paddy cultivation, paddy productivity output has changed in the study area over the time. Between 1991-92 and 2018-19, the overall paddy growth rate of the area showed a decline of 0.5%. And growth rate of paddy productivity was 1.31% while the increase of production was 0.74%, which can be attributed to the negative impacts arising out of changing weather patterns.