Crop Monitoring in Real Time in Agriculture

Umesh Kumar Mishra*, M. P. Karthikeyan*, Ajay Rastogi*, Ayesha Khatun*, Rakesh Nair*, Ankur Gupta*, Khaled M. Rabie*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

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 languageEnglish
Title of host publicationData Driven Mathematical Modeling in Agriculture
Subtitle of host publicationTools and Technologies
PublisherRiver Publishers
Pages265-284
Number of pages20
ISBN (Electronic)9788770040990
ISBN (Print)9788770041003
StatePublished - 1 Jan 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 River Publishers.

ASJC Scopus subject areas

  • General Economics, Econometrics and Finance
  • General Business, Management and Accounting
  • General Computer Science

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