This document is an assignment on precision agriculture submitted by Vidhan Chandra Singh to Dr. Amitesh Kumar Singh. It defines precision agriculture as a site-specific farming system designed to increase production efficiency and profitability while minimizing environmental impacts. It discusses the history and basic concepts of precision agriculture, including the key components of GPS, GIS, variable rate technology, yield monitors, and remote sensing. It also covers the benefits and challenges of adopting precision agriculture in India.
Digital Agriculture can be defined as ICT and data ecosystems to support the development and delivery of timely, targeted (localized) information and services to make farming profitable and sustainable (socially, economically and environmentally) while delivering safe, nutritious and affordable food for ALL. Rural connectivity will be a key to providing low cost data and access to information. Digital technology will be key to increasing agriculture productivity by delivering tailored recommendations to farmers based on crop, planting date, variety sown; real time localized observed weather and projected market prices. Mobile phones also enable farmers to integrate into structured markets based on approved grades and standards. The greatest impact of Digital agriculture will have is on democratization of market pricing and compressing transaction costs. Digital agriculture will also leverage social media platforms to build human capacity. One of the best examples originating from India is Digital Green.
APPLICATION OF INFORMATION AND COMMUNICATION TOOLS (ICTs) IN MODERN AGRICULTURESREENIVASAREDDY KADAPA
ICT can deliver fast, reliable, and accurate information in a user-friendly manner for practical utilization by the end-user. ICT includes any communication device or application encompassing radio, television, cellular phones, computer and network hardware and software, satellite systems, and as well as the various services and applications associated with them, such as videoconferencing and digital learning.
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
The growth of ICTs have fostered a push towards introducing digital technologies to address some of the challenges in agriculture. However, without a strategic approach, mainstreaming and scaling up these solutions become a huge challenge.
The FAO-ITU E-agriulture Strategy framework http://www.fao.org/3/a-i5564e.pdf assists countries to sustainably identify, design, develop and mainstream digital agriculture services and solutions.
PRECISION FARMING
It is an approach where inputs are utilized in precise amounts to get increased average yields, compared to traditional cultivation techniques. It is also known as precision Agriculture, A science of improving crop yield and assisting management decisions using high technology sensor and analysis tools. It is an approach to farm management that uses information technology (IT).
When we think of agriculture we think of cultivation,
plant life, soil fertility, types of crops, terrestrial environment,
etc. But in today’s world we associate with agriculture terms
like climate change, irrigation facilities, technological
advancements, synthetic seeds, advanced machinery etc. In
short we are interested in how science of today can help us in
the field of agriculture. And so comes into the picture
Precision Agriculture (PA).
The general definition is information and technology
based farm management system to identify, analyze and
manage spatial and temporal variability within fields for
optimum productivity and profitability, sustainability and
protection of the land resource by minimizing the production
costs. Simply put, precision farming is an approach where
inputs are utilized in precise amounts to get increased average
yields compared to traditional cultivation techniques. Hence it
is a comprehensive system designed to optimize production
with minimal adverse impact on our terrestrial system. [1]
The three major components of precision agriculture
are information, technology and management. Precision
farming is information-intense. Precision Agriculture is a
management strategy that uses information technologies to
collect valuable data from multiple sources. This type of analyzing data gives idea what to do in upcoming years to tackle the situations.
Mobile Tools for Agriculture.
Review of available android apps for agriculture. review is done with an intention of highlighting the available apps
for agricultural officers, field staffs, agricultural consultants and farmers to help them identify nutrient deficiency and pest symptoms for correct diagnosis. We do not suggest the information provided is perfect and the user assumes all risk for interpreting the symptoms.
Ratings are based on user interface & utility from the Indian perspective and to help agricultural scientists, students, institutions, companies, mobile developers for agri apps some reference points.
GPS-based applications in precision farming are being used for farm planning, field mapping, soil sampling, tractor guidance, crop scouting, variable rate applications, and yield mapping. GPS allows farmers to work during low visibility field conditions such as rain, dust, fog, and darkness.
Agriculture machinery plays a significant role to enhance the productivity.
Geo-informatics is the science that gather data regarding field conditions (Accurately). These are computational model cum strong algorithm based machinery or equipment to obtain real time data with precise application
Digital Agriculture can be defined as ICT and data ecosystems to support the development and delivery of timely, targeted (localized) information and services to make farming profitable and sustainable (socially, economically and environmentally) while delivering safe, nutritious and affordable food for ALL. Rural connectivity will be a key to providing low cost data and access to information. Digital technology will be key to increasing agriculture productivity by delivering tailored recommendations to farmers based on crop, planting date, variety sown; real time localized observed weather and projected market prices. Mobile phones also enable farmers to integrate into structured markets based on approved grades and standards. The greatest impact of Digital agriculture will have is on democratization of market pricing and compressing transaction costs. Digital agriculture will also leverage social media platforms to build human capacity. One of the best examples originating from India is Digital Green.
APPLICATION OF INFORMATION AND COMMUNICATION TOOLS (ICTs) IN MODERN AGRICULTURESREENIVASAREDDY KADAPA
ICT can deliver fast, reliable, and accurate information in a user-friendly manner for practical utilization by the end-user. ICT includes any communication device or application encompassing radio, television, cellular phones, computer and network hardware and software, satellite systems, and as well as the various services and applications associated with them, such as videoconferencing and digital learning.
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
The growth of ICTs have fostered a push towards introducing digital technologies to address some of the challenges in agriculture. However, without a strategic approach, mainstreaming and scaling up these solutions become a huge challenge.
The FAO-ITU E-agriulture Strategy framework http://www.fao.org/3/a-i5564e.pdf assists countries to sustainably identify, design, develop and mainstream digital agriculture services and solutions.
PRECISION FARMING
It is an approach where inputs are utilized in precise amounts to get increased average yields, compared to traditional cultivation techniques. It is also known as precision Agriculture, A science of improving crop yield and assisting management decisions using high technology sensor and analysis tools. It is an approach to farm management that uses information technology (IT).
When we think of agriculture we think of cultivation,
plant life, soil fertility, types of crops, terrestrial environment,
etc. But in today’s world we associate with agriculture terms
like climate change, irrigation facilities, technological
advancements, synthetic seeds, advanced machinery etc. In
short we are interested in how science of today can help us in
the field of agriculture. And so comes into the picture
Precision Agriculture (PA).
The general definition is information and technology
based farm management system to identify, analyze and
manage spatial and temporal variability within fields for
optimum productivity and profitability, sustainability and
protection of the land resource by minimizing the production
costs. Simply put, precision farming is an approach where
inputs are utilized in precise amounts to get increased average
yields compared to traditional cultivation techniques. Hence it
is a comprehensive system designed to optimize production
with minimal adverse impact on our terrestrial system. [1]
The three major components of precision agriculture
are information, technology and management. Precision
farming is information-intense. Precision Agriculture is a
management strategy that uses information technologies to
collect valuable data from multiple sources. This type of analyzing data gives idea what to do in upcoming years to tackle the situations.
Mobile Tools for Agriculture.
Review of available android apps for agriculture. review is done with an intention of highlighting the available apps
for agricultural officers, field staffs, agricultural consultants and farmers to help them identify nutrient deficiency and pest symptoms for correct diagnosis. We do not suggest the information provided is perfect and the user assumes all risk for interpreting the symptoms.
Ratings are based on user interface & utility from the Indian perspective and to help agricultural scientists, students, institutions, companies, mobile developers for agri apps some reference points.
GPS-based applications in precision farming are being used for farm planning, field mapping, soil sampling, tractor guidance, crop scouting, variable rate applications, and yield mapping. GPS allows farmers to work during low visibility field conditions such as rain, dust, fog, and darkness.
Agriculture machinery plays a significant role to enhance the productivity.
Geo-informatics is the science that gather data regarding field conditions (Accurately). These are computational model cum strong algorithm based machinery or equipment to obtain real time data with precise application
Precision Farming in Agriculture: Advantages, Key Technologies, and Challenge...Enterprise Wired
By integrating data-driven insights and advanced tools, Precision Farming in Agriculture reshapes the agricultural landscape, promising increased efficiency and ecological balance.
These are the notes for Precision Farming useful in the course of Bsc(agriculture & food business) from Amity university or what so ever you are in.. All the best for your degree.!
Precision Agriculture: Modern Agricultural Technologydrizlmari
Today world population is increased day by day gradually at same time the food production is being declined. So for modern techniques is required to feed the population
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
1. Assignment
On
Precision agriculture
Course- Village Attachment, AGR- 411 (0+4)
Institute of Agricultural sciences,
Guided By-
Dr. Amitesh Kumar Singh
Asstt. Prof.
RGSC, BHU
Submitted By-
Vidhan Chandra Singh
ID- R-12042
Enroll No.-327387
Banaras Hindu University
2. INTRODUCTION
Precision agriculture is an integrated
information- and production-based
farming system that is designed to
increase long term, site-specific and
whole farm production efficiency,
productivity and profitability while
minimizing unintended impacts on
wildlife and the environment.
3. “It would be a simple matter to describe the earth’s
surface if it were the same every where. The
environment, however, is not like that there is
almost endless variety.”
– Webster and Oliver (1990).
4. Definition of Precision Agriculture
Precision agriculture is an art and
science of utilizing innovative, site-
specific techniques for management of
spatial and temporal variability using
affordable technologies… for enhancing
output, efficiency, and profitability of
agricultural production in an
environmentally responsible manner.
5. The term precision agriculture appears to have been used first in 1990 as the
title of a workshop held in Great Falls, Montana, sponsored by Montana State
University. Before this, in the 80s, the terms ‘site-specific crop management’ or
‘site-specific agriculture’ was used.
Precision Agriculture History
8. The Building Blocks of Precision Farming
Global Positioning Systems
Geographic Information
Systems
Direct
&
Remot
e
Sensi
ng
Variabl
e Rate
Techno
logy
Yield
Monit
ors
Precisi
on
Naviga
tion
Precision Data Management
Software
Direct
&
Remot
e
Sensi
ng
Yield
Monit
ors
9. Components of Precision Farming
• Geographic Information Systems (GIS)
• Global Positioning Systems (GPS)
• Variable Rate Technology (VRT)
• Yield Monitor
• Remote Sensing
• Use of Laser Land leveler in SSNM
10. •GIS Software
Geographical information system
consists of a computer software
data base system used to input,
store, retrieve, analyze, and
display, in map like form, spatially
referenced geographical
information for more detailed
analysis of fields.
11. Remote Sensing (RS)
Collects data from reflected electromagnetic energy and
converts it into images using satellites or airplanes.
Any data that is suspect or highly irregular, needs to be confirmed by
field investigation.
12.
13. Why is Precision Nutrient
Management Important?
• Nutrient variability within a field can be very high
(graphs to follow), affecting optimum fertilizer rates.
• Yield potential and grain protein can also vary greatly
even within one field, affecting fertilizer
requirements.
• Increasing fertilizer use efficiency will become more
important with increasing fertilizer costs and
environmental concerns
14. Govern by 4 R’s
Nutrient Mangement in Precision Agriculture
15. SITE SPECIFIC NUTRIENT MANAGEMENT
‘Feeding of crop with nutrients as and when
needed’
The current fertilizer practice results in high
loss of applied fertilizers. Recently, scientists
have developed a new technique of nutrient
management known as site specific nutrient
management- based on site, climate and actual
plant needs.
Fertilizers have played a key role in increasing
crop production.
16.
17. Need for Precision Farming in India
• Increased Land degradation.
(In India, out of 329 million ha of total geographical
area 182 million ha of area is affected by land degradation
due to water erosion, wind erosion, water logging and
chemical deterioration.)
• Depletion of Water resources.
• Socio economic need for enhanced productivity / unit of
land, water and time.
• Environment Pollution because of increased and
indiscriminate use of fertilizers and chemicals.
• Precision Farming is essential in order to address
poverty alleviation, enhance quality of life and food
security.
18. PROBLEMS IN ADOPTION OF PRECISION FARMING
TECHNOLOGY:
• Fragmented land holding
• Lack of continuously monitoring the health and availability of the natural
resources.
• Climatic aberrations.
• Operational constraints.
• Uncertainty in getting the various inputs.
• Absence of a long standing and uniform agricultural policy.
• Lack of success stories.
• Lack of local technical expertise.
• Land ownership, Infrastructure and Institutional constraints.
19. Probable Strategies
• Farmer’s co-operatives.
• Pilot projects.
• Agricultural input suppliers, Extension advisors and
consultant play important role in the spread of the
technology.
• Combined effort of Researchers and Government.
• Public agencies should consider supplying free data
such as remotely sensed imagery to the universities
and research institutes involved in Precision farming
research.
20. Precision agriculture issues:
Precision agriculture also provides farmers with a wealth of
information to:
•Build up a record of their farm.
•Improve decision-making.
•Foster greater traceability.
•Enhance marketing of farm products.
•Improve lease arrangements and relationship with landlords.
•Enhance the inherent quality of farm products. (e.g. protein level in
bread-flour wheat)
21. Precision agriculture is a four-stage process using techniques to observe spatial
variability:
1- Geo-location of data:
Geo-locating a field enables the farmer to overlay information gathered from
analysis of soils and residual nitrogen, and information on previous crops and
soil resistivity.
Geo-location is done in two ways:
1- The field is outlined using an in-vehicle GPS receiver as the farmer drives a
tractor around the field.
2- The field is outlined on a base map derived from aerial or satellite imagery.
The base images must have the right level of resolution and geometric quality to
ensure that geo-location is sufficiently accurate.
Precision Agriculture Stages and tools
22. Contd..
• 2- Characterizing variability:
Field variability can result from:
• Climatic conditions (hail, drought, rain, etc. ).
• Soils (texture, depth, nitrogen levels).
• Cropping practices.
• Weeds and Disease. This information may come from weather
stations and other sensors (soil electrical resistivity, detection with
the naked eye, satellite imagery, etc.).
23. (Cont…)
3- Decision-making: 2 ways for dealing with variability Using soil maps,
farmers can pursue two strategies to adjust field inputs:
• 1- Predictive approach: Based on analysis of static indicators (soil,
resistivity, field history, etc.)
• 2- Control approach: Information from static indicators is regularly
updated during the crop cycle by:
• Sampling: weighing biomass, measuring leaf content, etc.
• Remote sensing: measuring parameters like temperature (air/soil),
humidity (air/soil/leaf), wind or stem diameter is possible thanks to Wireless
Sensor Networks
• Aerial or satellite remote sensing: multispectral imagery is acquired and
processed to derive maps of crop biophysical parameters. Decisions may be
based on decision-support models (crop simulation models and
recommendation models), finally it is up to the farmer to decide in terms of
business value and impacts on the environment.
24. ( Cont…..)
•4- Implementing practices to address variability
Application of crop management decisions requires
agricultural equipment that supports variable-rate
technology (VRT). Precision agriculture uses
technology on agricultural equipment (e.g. tractors,
sprayers, harvesters, etc.):
• GPS and DGPS.
• (GIS) geographic information systems. i.e., software
that makes sense of all the available data, variable-rate
farming equipment (seeder, spreader).
25. To be successful, comprehensive precision
agriculture relies on
KEY TO SUCCESS
INFORMATION TECHNOLOGY
MANAGEMENT
27. CONCLUSION
• Precision agriculture is a comprehensive system designed to
optimize production.
• Using the key elements of information, technology, and
management, precision agriculture can be used to increase
production efficiency, improve product quality, improve the
efficiency of crop chemical use, conserve energy, and protect
the environment.