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Souza, W.J
Singh, J
Singh, G
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Authors
Singh, G
Das, K
Singh, J
Hazra, J
Souza, W.J
Silva, A.N
Apolinário, E
Souza, W.J
Topics
Geospatial Data
Geospatial Data
Type
Oral
Year
2008
2018
2024
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1. Precision Agriculture Practices for Sustaining Productivity and Profitability in Reclaimed Sodic Soils in Northwest India

Indo-gangetic alluvial plain comprising of Punjab, Haryana and Uttar Pradesh states is a food bowl of India. These states contribute significant quantity of food grains particularly rice and wheat to the central pool. However, in the recent past, the productivity of the dominant rice-wheat cropping system in reclaimed alkali (sodic) soils is either stagnating or decreasing with the associated problems of declining water table levels, decreasing levels of organic matter in the soil, nutrient imbalance,... G. Singh

2. Development of a High Resolution Soil Moisture for Precision Agriculture in India

Soil moisture and temperature are key inputs to several precision agricultural applications such as irrigation scheduling, identifying crop health, pest and disease prediction, yield and acreage estimation, etc.  The existing remote sensing satellites based soil moisture products such as SMAP are of coarse resolution and physics based land surface model such as NLDAS, GLDAS are of coarse resolution as well as not available for real time applications.  Keeping this in focus, we are developing... K. Das, J. Singh, J. Hazra

3. Precision Agriculture: Forage Chopper Noise Level As an Estimator of Corn Silage Production in Small Farms

The objective of the work carried out in the Registro County, SP, Brazil, in the year 2021, was to study the forage chopper noise level as an estimator of corn silage production in small farms. The corn crop study and characterization were measured plant height (PH), height of first ear insertion (HEI) and green mass production of plants (GM) were studied. The noise (NO) produced by the forage machine during ensiling was collected by recording, considering it as a potential yield estimator during... W.J. Souza, A.N. Silva

4. Soybean Production Components As Indicators of Soil Variability As a Subsidy for Precision Agriculture

The soil variability in its physical, chemical and biological parameters can be analyzed using direct methods applicable to each variable studied. Plant responses, manifested in the establishment of the final population, biomass production and grain productivity can reflect the soil conditions, associating them with the variability observed in the area. Localized soil management and the use of machines with variable rate applications, including drones for applications in specific sites, depend... E. Apolinário, W.J. Souza