Methods of Estimation of Crop Acreage and Production for Small Domains ab 76.9 € als Taschenbuch: Applications of Small Area Estimation Methods in Agriculture. Aus dem Bereich: Bücher, Kunst & Musik,
Methods of Estimation of Crop Acreage and Production for Small Domains ab 76.9 EURO Applications of Small Area Estimation Methods in Agriculture
Small area estimation methods are used in survey sampling when traditional methods of estimation do not provide efficient estimates of the parameters of small domains either due to insufficient sample size or zero sample size. This monograph provides indirect methods of estimation of small domains' parameters related to agriculture field. The monograph will be useful for people working in the field of small area estimation in general and those working in the area of crop acreage and production estimates worldwide in particular.
The aim of this paper is Develop and Data collection of Drone for agricultural applications and needs of farmers. The use of unmanned aerial vehicles (Drones) is growing chop-chop across several civil application domains together with crop yield prediction, land use surveys in rural and concrete regions, traffic police investigation and weather analysis. The unmanned little scale drones area unit notably appropriate for hard issues which need correct low-speed manoeuvre and hovering capabilities like careful space mapping. Today's farmer got to upset progressively advanced issues. Problems like water-quality and amount, global climate change, glyphosate-resistance weeds, soil quality, unsure trade goods costs and increasing input costs to call many. AADS is new method of data collection based on needs of farmers of twentieth century. The AADS contains four rotors each are connected to four rotary wings containing fins or blades. It will be able to regulate the thrust/lift through varying the speed of the rotors through a radio controller. This RC will be fitted with a micro controller programmed to avoid obstacles through sensors and vary the speeds of rotary wings and provide visual.
Wheat is tremendously important in the staple foods of the world. It is being attacked by a number of insects and pathogens leading to significant yield loss. It is very vital to protect this crop from invaded organisms. Wheat rust is one of them. In this book different research domains and institutes including whole history and varied aspects of wheat rust are present. A varietal examination is also involved to make a good cultural control of this pest.
Early days of technology employed traditional methods like rainfall distribution, duration of sunshine, and the related meteorological data to forecast a forthcoming event regarding drought. Recently, satellite remote sensing has been considered as an appropriate tool for deriving information in spatial and temporal domains by providing multi-spectral reflectance data at regular intervals. In this book, analysis of series of deviation of NDVI images, extraction of virtual drought objects from the series, and investigation for drought patterns from historical image for growing season was made. Subsequent to this, appropriate prediction model of these patterns was developed for early measures while within the same season. The virtual drought objects extracted from images over the growing season were found to exhibit a pattern for the historical drought years. It is understood that this work will give new views for ways in drought prediction for early warning and crop condition monitoring at near real-time for agricultural sectors.
The rapid mining of soil potassium (K) is the major yield limiting factor in cotton production in Pakistan and elsewhere. Potassium influences cotton yield and quality due to its versatile roles in the physiology and biochemistry of cotton. Interestingly, cotton requires K as much as nitrogen, during entire growth and development, to offer optimum yield. However, in many parts of the world, K fertilization is a very costly agricultural input. Hence, the farming community, especially in developing countries, seldom include K fertilization in crop production programs. Recent literature on K nutrition of cotton has witnessed that K requirement of cotton varies among genotypes. Modern, insect-resistant, high yielding cotton varieties require more K as against obsolete varieties. This monograph reports the comparative K requirement of Bt and non-Bt cotton genotypes and identifies cotton genotypes for their suitability to fit well under low and high K input sustainable agriculture systems. This book is a dependable compendium for the students, teachers and researchers working in the domains of K nutrition of cotton and nutrient-use-efficient genotypes.
Adoption of Micro Irrigation System can be a panacea in irrigation related problems. In this technology, the cropped field is irrigated in the close vicinity of root zone of crop. It reduces the water loss occurring through evaporation, conveyance and distribution. Therefore high water use efficiency can be achieved. The equations which are used to describe hydraulic phenomena are basically non-linear in character and, thus, cannot be solve directly. The finite element method is a systemic numerical procedure for solving complex engineering problems. The finite element analysis is based on matrix algebra and use of computers, because it is only in matrix form that the complete solution process can be expressed in a compact and elegant manner. Any continuous quantity can be approximated by a discrete model composed of a set of piecewise continuous functions defined over a finite number of sub-domains.
Prediction of agriculture yield with the help of data mining tools and techniques is one of the emerging research domains from past couple of years. Data Mining is emerging research field in crop yield analysis. Yield prediction is a very important issue in agricultural. Various seasonal, economic and biological factors influence the crop production but unpredictable changes in these factors lead to a great loss to farmers. Developing better systems to predict alter effectiveness in different climatic conditions can help farmer and distinctive accomplices in indispensable essential initiative to the extent agronomy and collect choice. An efficient framework is required in farming area to anticipate and enhance the product everywhere throughout the world. Because of inaccessibility of appropriate information, the many-sided quality of expectation of products is high because of which nature of forecast gets influenced. In information mining key advance in mining profitable information is grouping. This book describes trim forecast framework utilizing Fuzzy bunching strategies and neural system.