Abstract
Many nations, including India, still use traditional agricultural techniques. Our farmers’ lack of adequate information makes the status of the agriculture industry even direr. Since agricultural methods heavily depend on weather forecasts and projections, which may not always be accurate, farmers often suffer enormous losses that result in debt and multiple agriculturist suicides. Ample soil moisture, good soil, clean air, and efficient irrigation all significantly influence crop output and cannot be ignored. Currently, the world’s population is growing at an alarming rate, and agricultural production cannot keep up with the rising demand. By 2050, the population of the globe is predicted to reach nine billion, necessitating an increase in the agricultural supply of at least 70%. Monitoring plant development at all phases, from seeding through culture, is required to accomplish this.
Original language | English |
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Title of host publication | Data Driven Mathematical Modeling in Agriculture |
Subtitle of host publication | Tools and Technologies |
Publisher | River Publishers |
Pages | 265-284 |
Number of pages | 20 |
ISBN (Electronic) | 9788770040990 |
ISBN (Print) | 9788770041003 |
State | Published - 1 Jan 2024 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2024 River Publishers.
ASJC Scopus subject areas
- General Economics, Econometrics and Finance
- General Business, Management and Accounting
- General Computer Science