Precision agriculture by m0nit0ring and c0ntr0lling system

Precision agriculture by m0nit0ring and c0ntr0lling system is the last decade techn0l0gical ev0luti0n that als0 affected breeding of d0mestic animals.
Use of vari0us sens0rs and wireless devices:

1)Farmers can 0btain inf0rmati0n ab0ut s0il humidity using I0T techn0l0gy, but farmers estimate the s0il humidity acc0rding to the rainfall.

2)Farmers can 0btain inf0rmati0n ab0ut nutrients c0nditi0ns in the s0il, but farmers used t0 kn0w the nutrients by c0ntinu0us 0bservati0n.

3)Farmers can 0btain inf0rmati0n ab0ut the 0ccurrence of plant diseases and pests in plants but in the past farmers used to kn0w the nutrients by c0ntinu0us 0bservati0n.
Maj0r challenges faced by the agriculture d0main are the excess use 0f water and fertilizers in harvests, which will diminish the quality and quantity of the pr0ducts. This pr0blem can be tackled by the utilizati0n 0f the pr0p0sed system. Hence, the pr0p0sed framew0rk can be implemented in a real-time farming envir0nment t0 get rev0luti0nary results. This can be extended by including disease predicti0n and a rec0mmendati0n system t0 pr0vide instructi0ns t0 farmers regarding pesticides and cultivati0n. We can als0 include a web service platf0rm f0r c0llab0rative gr0up c0mmunicati0n between farmers and agricultural experts as future w0rk. A system has t0 be devel0ped t0 measure pesticide levels in cr0ps. Sustainable energy can be used f0r 0perating the system rather than using electricity.

Features: -

1)Intelligent agriculture.

2)Inf0rmation systems and c0ntr0l netw0rks applied in real farming scenari0s.

3)Aut0matic c0ntr0l system pr0vides appr0priate gr0wth c0nditi0ns in the greenh0use.

4)Sens0r netw0rk.

5)Data collecti0n.

6)Netw0rk service.

7)Data fusi0n.

8)C0mputati0n in intelligent agriculture.

9)C0ntr0lling plant diseases and insect pests.

10)Aut0n0m0us tracing system.