Distribution and production of Wheat.

Top wheat producers in 2020 Country Millions of tonnes China 134.2 India 107.6 Russia 85.9 United States 49.7 Canada 35.2 France 30.1 Pakistan 25.2 Ukraine 24.9 Germany 22.2 Turkey 20.5 Wheat is widely cultivated cereal, spread from 57ºN to 47ºS latitude. Hence, wheat is cultivated and harvested throughout the year in one country or other. China, India, Russian federation, USA, France, Canada, Germany, Pakistan, Australia and Turkey are most important wheat growing countries. ECONOMIC IMPORTANCE Wheat is the world's number one cereal in area. Cultivation of wheat is as old as civilization. It is the first mentioned crop in Bible. Wheat is eaten in various forms by more than 1000 million people in the world. In India, it is second important staple food crop next to rice. In areas wheat is staple cereal food; it is eaten in the form of 'chapattis'. In areas where rice is the staple cereal food, wheat is eaten in the form of 'puris' or in the form of 'upma' (cooked from 'suji' or 'rawa'). In addition to this, wheat is also consumed in various other preparations such as 'dalia', 'halwa', 'sweet meals', etc. In most of the urban areas of the country, the use of backed leavened bread, flakes, cakes, biscuits, etc. is increasing at a fast rate. Besides staple food to human, wheat straw is a good source of feed for a large population of cattle in the country. SOIL AND CLIMATIC REQUIREMENT Soils with a clay loam or loam texture, good structure and moderate water holding capacity are ideal for wheat cultivation. Care should be taken to avoid very porous and excessively drained soils. Soil should be neutral in its reaction. Heavy soils with good drainage are suitable for wheat cultivation under dry conditions. These soils absorb and retain in rain water well. Heavy soils with poor structure and poor drainage are not suitable as wheat is sensible to water logging. Wheat can be successfully grown on lighter soils provided their water and nutrient holding capacities are improved. Climate Wheat has hardening ability after germination. It can germinate at temperature just above 4ºC. After germination it can withstand freezing temperatures by as low as -9.4ºC (Spring wheat) and as low as -31.6ºC (Winter wheat). Normal process starts above 5ºC under the presence of adequate sunlight. Wheat can be exposed to low temperature during vegetative and high temperature and long days during reproductive phases. Optimum temperature is 20-22ºC. Optimum temperature for vegetative stage is 16-22ºC. Temperature above 22ºC decreases the plant height, root length and tiller number. Heading is accelerated as temperature rose from 22 to 34ºC, but, retarded above 34ºC. At grain development stage, temperature of 25ºC for 4-5 weeks is optimum and above 25ºC reduces the grain weight. It is long day plant. Long day hastens the flowering and short day increase the vegetative period. But, after the release of photo-insensitive varieties, no issues of photo-sensitiveness.

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Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification: - You have prior knowledge about the c...

Lidar

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Geometric Correction

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Image Transformation

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Spatial Feature Manipulation and Filtering

1. Spatial Feature Manipulation: Spatial Frequency Spatial frequency describes how quickly brightness changes across an image. It can reveal different levels of detail, based on how often these changes occur: High Spatial Frequency : Areas where brightness changes quickly, like edges, fine textures, or detailed patterns. These parts contain high detail but can also include noise. Low Spatial Frequency : Areas with gradual changes in brightness, like smooth surfaces or broad homogeneous areas. These regions are usually featureless, such as water bodies or large agricultural fields. Zero Spatial Frequency : Represents a completely uniform area with no brightness variation. This area is very smooth and has no texture or detail. By manipulating spatial frequencies, we can enhance or suppress certain features in an image. Spatial filtering is one of the primary methods to perform this manipulation. 2. Spatial Filtering and Spatial Domain Spatial filtering is the process of applying mathe...

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