Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique
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...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2022/4351825 |
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| author | Danish Ather Suman Madan Manjushree Nayak Rohit Tripathi Ravi Kant Sapna Singh Kshatri Rituraj Jain |
| author_facet | Danish Ather Suman Madan Manjushree Nayak Rohit Tripathi Ravi Kant Sapna Singh Kshatri Rituraj Jain |
| author_sort | Danish Ather |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ea368079be7742bea89cb467ac8829e7 |
| institution | Kabale University |
| issn | 1745-4557 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-ea368079be7742bea89cb467ac8829e72025-02-03T05:53:27ZengWileyJournal of Food Quality1745-45572022-01-01202210.1155/2022/4351825Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence TechniqueDanish Ather0Suman Madan1Manjushree Nayak2Rohit Tripathi3Ravi Kant4Sapna Singh Kshatri5Rituraj Jain6Department of Computer Science & EngineeringDepartment of Information TechnologyNIST Institute of Science and Technology(Autonomous)Electronics Engineering DepartmentDepartment of Computer Science & EngineeringDepartment of Computer Science & EngineeringDepartment of Electrical and Computer EngineeringA 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.http://dx.doi.org/10.1155/2022/4351825 |
| spellingShingle | Danish Ather Suman Madan Manjushree Nayak Rohit Tripathi Ravi Kant Sapna Singh Kshatri Rituraj Jain Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique Journal of Food Quality |
| title | Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique |
| title_full | Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique |
| title_fullStr | Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique |
| title_full_unstemmed | Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique |
| title_short | Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique |
| title_sort | selection of smart manure composition for smart farming using artificial intelligence technique |
| url | http://dx.doi.org/10.1155/2022/4351825 |
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