Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique

Abstract

A modern worldview has developed in rural methods, devices, and advances. Exactness in agribusiness is required to guarantee site-specific editing of administration, which incorporates soil supplement arrangements that are custom fitted to each crop’s needs. In spite of the fact that preparation is vital for expanding efficiency, it is vital to dissect the possibilities and impediments of soil as a premise for selecting the correct manure sort, amount, and application time to dodge compost utilization instability. Farmers’ dependence on instinct, trial and mistake, mystery, and assessing significantly includes major wasteful aspects such as efficiency misfortunes, asset squandering, and expanded natural defilement due to the complexity of deciding the perfect preparing extend. Agriculturists cannot successfully estimate the impacts of their choices on yield and the environment when utilizing these. This paper illustrates why manure regimes should be adjusted to meet the demands of certain crops and regions, as well as to safeguard the environment by reducing pollution caused by fertilizer and manure waste. A few soil-richness administration strategies, such as the utilization of versatile research facilities or imported gear, have confronted obstacles in terms of fetched, comfort of utilization, and adaption to the neighborhood environment. Other choices, such as sending soil to research facilities for testing, are badly designed, time-consuming, and conflicting. Based on the climate estimate, this thing should be suggested according to the development of an ANN and show the estimates of NPK supplement levels and offer the fitting compost treatment and application timing.

Application of Smart Techniques, Internet of Things and Data Mining for Resource Use Efficient and Sustainable Crop Production

“…The internet of things provides efficient ways to assist the farmers and researchers in the agricultural crop production sector. Moreover, it assists the decision making by making various information readily available when it comes to soil [16], water [21], pesticides [22], fertilizers [23], and manures [24]. Climate change and global warming are the burning issues of the world, with a lot of studies and resources being spent to ensure a better future for the coming generations.…”

A critical analysis of crop management using Machine Learning towards smart and precise farming

“…Conventional tools, such as rain gauges, tractors, and notebooks, can be upgraded to the level of sophistication attained by smart gadgets by virtue of their autonomous context awareness, built-in intelligence, and ability to either carry out actions on their own or do these actions remotely. 15,16 It is possible to anticipate that the role of humans in analyzing and planning will be increasingly assisted by machines, which will result in the cyber-physical cycle becoming nearly autonomous. Although it is already hinted at in this picture that robots can play an important role in control, it is also possible to anticipate that this will happen.…”

The Internet of Things for Smart Farming: Measuring Productivity and Effectiveness

“…The agricultural crop production industry has access to effective solutions to support farmers and researchers thanks to the Internet of Things. Additionally, it facilitates decision-making by providing numerous easily accessible data sources on soil [13], water [14], pesticides [15], fertilizers [16], and manures [17]. Precision farming has the potential to further mitigate the consequences of global warming by addressing runoff problems, pollutants, and the use of fewer pesticides and fertilizers on agricultural products [18,19].…”